Browse Topic: Identification

Items (10,943)
To address the issue of signal aliasing when multiple particles pass through a metallic particle sensor, which can lead to misidentification of particle count, we employ numerical simulation methods for an in-depth investigation. We developed a mathematical model of a three-coil inductive metal particle sensor to explore the signal variations induced by the passage of a single particle. We utilized micro-element simulation analysis to dissect the signal generated by a single particle, elucidating the underlying change process. Focusing on dual ferromagnetic particles as the subject of study, we conducted simulations and demodulation of the induced voltage under various combinations of sizes and spacings to investigate the influence patterns of dual adjacent ferromagnetic particles on the sensor's induced signal. Further research into the peak signals of different diameter particles at a constant spacing revealed that, for a given spacing, the ratio of peak signals between particles of
Chen, SenShen, YitaoQiang, GuiyanZheng, ZhengWang, ZheyuHao, YinHu, Ting
Blistering in aesthetic parts poses a significant challenge, affecting overall appearance and eroding brand image from the customer's perspective and blister defects disrupt painting line efficiency, resulting in increased rework and rejection rates. This paper investigates the causes and effects of blistering, particularly in the context of internal soundness of Aluminum castings, emphasizing the crucial role of Computed Tomography in defect analysis. Computed Tomography is an advanced Non-Destructive Testing technique used to examine the internal soundness of a material. This study follows a structured 7-step QC story approach, from problem identification to standardization, to accurately identify the root Cause and implement corrective actions to eliminate blister defect. The findings reveal a strong link between internal soundness and surface quality. Based on the root cause, changes in the casting process and die design were made to improve internal soundness, leading to reduced
D, BalachandarNataraj, Naveenkumar
In this work, a modified Ahmed body with both upsweep and downsweep was used to create a complex wake. The time-averaged streamline topology revealed that the wake was composed primarily of a torus past the vertical base and two pairs of streamwise-oriented vortices on the upper and lower slant edges. Several vortex identification methods including three-dimensional (3D) (Q−, λ2−, Ω−criteria, and Liutex method) and two-dimensional (2D) (Γ1−criterion) methods were compared to determine the effectiveness in identifying complex wake structures. Of the 3D methods analyzed, none produced wholly satisfactory results. The Q− and λ2−criteria were plagued by well noted issues; failing to separate shear from rotation and threshold sensitivity which led to inconsistently identifying the weaker torus. The Ω−criterion addressed all of these concerns, especially identifying the torus consistently. However, the identified torus structure did not reflect the physical structure observed using the
Aultman, MatthewDuan, Lian
This SAE Recommended Practice provides the lighting function identification codes for use on all passenger vehicles, trucks, trailers, motorcycles, and emergency vehicles.
Lighting Standard Practices Committee
This standard will apply primarily to the vehicle classes identified in SAE J3194. It provides a schema for utilizing alphanumeric values to represent identifying information such as the manufacturer or vehicle provider, year of manufacture, model, vehicle type, weight, width, speed, and power source. Although conceptually similar to a Vehicle Identification Number (VIN), this standard does not classify or intend to suggest classification of these vehicles as motor vehicles for regulatory or safety data purposes. The location for placement of these identifiers on the vehicle, type of label, permanence, and visibility are out of scope for this document.
Powered Micromobility Vehicles Committee
The rapid expansion of metro systems in major cities worldwide has resulted in the accumulation of vast amounts of travel data through Automatic Fare Collection (AFC) systems. While this data is crucial for enhancing and optimizing transportation networks, it also raises significant concerns regarding passenger privacy due to the potential exposure of individual travel patterns. In this paper, we propose a novel privacy risk assessment model aimed at quantifying the uniqueness of travel trajectories and evaluating the associated privacy threats. Utilizing AFC data from Chengdu collected in March 2021, we first employ an information entropy approach to assess the uniqueness of travel trajectories across different time granularities. We then apply the K-Means clustering algorithm to classify these trajectories into categories based on their uniqueness levels, enabling us to investigate how factors like travel time and routes influence trajectory uniqueness. To further understand the
Fan, XiaotingQu, XuYang, Hongtai
This paper presents advanced intelligent monitoring methods aimed at enhancing the quality and durability of asphalt pavement construction. The study focuses on two critical tasks: foreign object detection and the uniform application of tack coat oil. For object recognition, the YOLOv5 algorithm is employed, which provides real-time detection capabilities essential for construction environments where timely decisions are crucial. A meticulously annotated dataset comprising 4,108 images, created with the LabelImg tool, ensures the accurate detection of foreign objects such as leaves and cigarette butts. By utilizing pre-trained weights during model training, the research achieved significant improvements in key performance metrics, including precision and recall rates. In addition to object detection, the study explores color space analysis through the HSV (Hue, Saturation, Value) model to effectively differentiate between coated and uncoated pavement areas following the application of
Hu, YufanFan, JianweiTang, FanlongMa, Tao
In intelligent transportation systems (ITS), traffic flow prediction is a necessary tool for effective traffic management. By identifying and extracting key nodes in the network, it is possible to achieve efficient traffic flow prediction of the whole network using “partial” nodes, as the key nodes contain essential information about changes in the state of the traffic network. This paper proposes a key node identification method based on revised penalty local structure entropy (RPLE) for specific traffic networks. This method takes into account the influence of node distance and traffic flow on identifying important nodes within the traffic network. By introducing a modified penalty term and a comprehensive weight, it achieves a certain level of accuracy in traffic flow prediction using data from key nodes in the network. We compared the RPLE method with different key node identification methods and combined it with different prediction models to compare the traffic flow prediction
Shu, XinRan, Bin
This material type has resistance to hot air, but generally has poor resistance to fuels and lubricants, but usage is not limited to such applications. Each application should be considered separately. This material type has a typical service temperature range of -85 to 500 °F (-65 to 260 °C). The operating temperature range of the material is a general temperature range, but the presence of particular fluids and design parameters may modify this range. Recommendations on the material selection are based on available technical data and are offered as suggestions only. Each user should make his own tests to determine the suitability for his own particular use.
A-6C2 Seals Committee
Additive Manufacturing (AM), specifically Fused Deposition Modeling (FDM), has transformed the manufacturing industry by allowing the creation of intricate shapes using different materials. Polylactic Acid (PLA) is a biodegradable thermoplastic that is commonly used in additive manufacturing (AM) because of its environmentally friendly nature, affordability, and ease of processing. This study aims to optimize the parameters of Fused Deposition Modeling (FDM) for PLA material using the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) approach. The researchers performed experimental trials to examine the impact of important FDM parameters, such as layer thickness, infill density, printing speed, and nozzle temperature, on critical outcomes, including dimensional accuracy, surface finish, and mechanical properties. The methodology of design of experiments (DOE) enabled a systematic exploration of parameters. The TOPSIS approach, a technique for making decisions
Natarajan, ManikandanPasupuleti, ThejasreeD, PalanisamyKatta, Lakshmi NarasimhamuSilambarasan, R
This SAE Recommended Practice establishes recommended procedures for the issuance, assignment, and structure of Identification Numbers on a uniform basis by states or provinces for use in an Assigned Identification Number (AIN).
VIN - WMI Technical Committee
Sodium-ion batteries (SIBs) make their marks in energy storage and electric vehicles due to their abundant reserves, cost-effectiveness, environmental resilience, and high safety. However, maintaining high battery performance in intricate operating conditions is challenging, which necessitates precise control based on timely and accurate acquisition of operation parameters, especially for the state of charge (SOC). Equivalent circuit model (ECM) is the most widely used in the evaluation of SOC. In this work, a 2nd-order resistor-capacitor ECM (2ORC-ECM) is chosen because of its balance between accuracy and computational efficiency. Furthermore, dynamic parameters in the 2ORC-ECM are accurately identified online by introducing an enhanced recursive least squares method with a forgetting factor. Finally, the proposed method is carried out based on the measured data of commercial SIBs. The results show that the proposed method can mitigate data saturation effectively while ensuring high
Qi, HonghaoPan, LyumingXu, XiaoqianRao, HaoyaoYu, YueshengLiu, XiangchiZhu, YifeiYang, CanWu, WeixiongLi, YubaiLi, WenjiaZeng, LinXu, QianRen, JiayouWei, Lei
Monitoring the rotor temperature of drive machines is crucial for the safety and performance of electric vehicles. However, due to the complex operating conditions of electric vehicles, the thermal parameters of vehicular induction machines (IMs) vary significantly and are difficult to identify accurately. This article first establishes a concise but effective thermal network for IMs and analyzes the influencing factors of thermal parameters. Then, a parameter identification network (PIN) with multiple parallel branches is constructed to learn the mapping relationship between electromechanical variables and thermal parameters. Afterward, temperature datasets for network training are built through bench testing. Finally, the effectiveness of identified parameters for rotor temperature estimation application is verified, demonstrating improved interpretability, generalization ability, and accuracy compared to an end-to-end neural network.
Jiang, ShangHu, Zhishuo
This SAE Recommended Practice establishes a procedure for the issuance and assignment of a World Manufacturer Identifier (WMI) on a uniform basis to vehicle manufacturers that may desire to incorporate it in their Vehicle Identification Numbers (VIN). This recommended practice is intended to be used in conjunction with the recommendations for VIN systems described in SAE J853, SAE J187, SAE J272, and other SAE reports for VIN systems. These procedures were developed to assist in identifying the vehicle as to its point of origin. It was felt that review and coordination of the WMI by a single organization would avoid duplication of manufacturer identifiers and assist in the identification of vehicles by agencies such as those concerned with motor vehicle titling and registration, law enforcement, and theft recovery.
VIN - WMI Technical Committee
This SAE Recommended Practice describes the basic content requirements, barcode specifications, and functional test specifications of the vehicle identification number (VIN) label. On the vehicle, the VIN label is to be mounted in a readily accessible location for use of a barcode scanning device.
VIN - WMI Technical Committee
To meet light-weighting and safety target of automotive vehicles, different Aluminium alloys are used in various body parts. Apart from conventional manufacturing process of gravity die casting (GDC), advanced manufacturing process such as low pressure die casting (LPDC), high pressure die casting (HPDC) and extrusion processes are also used to form complex automotive body parts. Steel parts are majorly used in automotive applications across world. However, steel has limitations with respect to light-weighting. To achieve light-weighting, now a days, there is trend to use these complex Aluminium parts in automotive industry to replace steel and integrate multiple parts into a single one. Aluminium has emerged as great potential for light-weighting and reducing complexity of handling multiple parts at an automotive plant. There is a challenge to identify suitable etchant for microstructural characterization of Aluminium alloy parts that can be made through various manufacturing
Deshmukh, MansiJain, VikasMisal, SwapnaliPaliwal, Lokesh
Mode identification, particularly Modal Map Generation, is pivotal within the NVH (Noise, Vibration, and Harshness) domain for managing the performance of complex systems like TBIW/Powertrain. This study addresses the critical task of accurately identifying Global / Local behavior of a particular system as single entity (Complete TBIW, Power train) or all the systems attached to main structure (Sub Systems i.e Seat , Fuel Tank , Pump etc), which is crucial for effective NVH post-processing. Introducing a novel tool/methodology developed by the Applus IDIADA team, this paper presents an efficient approach to Global & Local mode identification across subsystems, TBIW, and Powertrain levels. Leveraging ".op2" file content, mainly Strain Energy Density[1] and Displacement [2], the tool integrates Machine Learning Techniques [3] to produce mode predictions along with detailed visual outputs such as graphs , pie chart , modal charts etc. Implemented as a Python-based solution compatible with
Naphad, AniruddhaLama Borrajo, InesPatil Sr, HitendraChandratre, SudipRana, Upendra
RADAR antennae come in varying sizes and shapes. They are often employed in heterogeneous systems (i.e., systems that use multiple detection methods) that are employed to detect and visualize objects. Object identification in the context of automated vehicle behavior design could require extensive data sets to train algorithms that have the potential to make dynamic driving decisions. A widely available platform would increase the ability of researchers learn about automated systems and to gather data, which may be necessary for training automated vehicle systems. This work describes the application of a 77 GHz, portable antenna to the description of standard fleet vehicles as well as a suite of soft targets contextualized within polar plots. This work shows that object detection and identification is possible in off-the-shelf portable systems that combine readily available materials and software in a reproducible manner. The described system and algorithm create a visual correlate
Chen, AaronHartman, EthanLin, VincentManahan, TaylorSidhu, AnmolEichaker, Lauren
This specification covers metric aircraft quality spacers for use as positioners for tubes, flat washers for use as load spreaders, galling protection of adjacent surfaces and or material compatibility, and key or tab washers for use as locks for bolts, nuts, and screws.
E-25 General Standards for Aerospace and Propulsion Systems
This document specifically pertains to cybersecurity for road vehicles. This document encompasses the entire vehicle lifecycle of key management. It has been developed by SAE Committee TEVEES18F, Vehicle Security Credentials Interoperability (VSCI), a subcommittee of SAE Committee TEVEES18A, Vehicle Cybersecurity Systems Engineering Committee. This committee is authorized under the scope and authority fo the SAE Electronic Design Automation Steering Committee (also known as the Electronic Systems Group) that is directly under the scope and authority fo the SAE Motor Vehicle Council. The SAE Motor Vehicle Council’s stated scope of influence and authority, as defined by the SAE includes, passenger car and light truck in conjunction with ISO/SAE 21434.
Vehicle Electrical System Security Committee
This recommended practice describes general characteristics of VIN systems. It includes certain specific requirements, supporting definitions, basic content, and examples.
VIN - WMI Technical Committee
This specification establishes the design, performance, and test requirements for hydraulic quantity measuring fuses intended to be used for hydraulic circuit protection.
A-6C5 Components Committee
This specification covers a carbon steel in the form of wire supplied as coils, spools, or cut lengths (see 8.2).
AMS E Carbon and Low Alloy Steels Committee
This document establishes the requirements for the sequencing of processes relating to parts fabricated from 300M or 4340 modified steel heat treated to, or to be heat treated to, 270,000 psi (1860 MPa) minimum ultimate tensile strength (UTS) and higher.
AMS E Carbon and Low Alloy Steels Committee
Though modal analysis is a common tool to evaluate the dynamic properties of a structure, there are still many individual decisions to be made during the process which are often based on experience and make it difficult for occasional users to gain reliable and correct results. One of those experience-based choices is the correct number and placement of reference points. This decision is especially important, because it must be made right in the beginning of the process and a wrong choice is only noticeable by chance in the very end of the process. Picking the wrong reference points could result in incomplete modal analysis outcomes, as it might make certain modes undetectable, compounded by the user's lack of awareness about these missing modes. In the paper an innovative approach will be presented to choose the minimal number of mandatory reference points and their placement. While other approaches use results of numerical simulations or rely on a visual evaluation of measurement
Kamper, TimBeljan, DenisBrücher, HaikoWegerhoff, Matthias
Dynamic substructuring enables the dynamic behavior analysis of intricate systems. In this context, the precise description of individual subsystem interfaces is crucial. Coupling components through virtual points is suitable, especially when it comes to experimental substructuring. The complex contact situations that arise from joint descriptions in thin-walled structures, like those found in vehicle seats, present a challenging task. This investigation aims to visualize the complex coupling of thin-walled structures by applying the virtual point transformation. Individual subsystems are analyzed through experiments and coupled using the Lagrange multiplier frequency-based substructuring to achieve this goal. For validation purposes, a completely assembled vehicle seat has been investigated. Identification of the connecting elements between the substructures is achieved using decoupling techniques. As a result, the stiffness of the sleeve can be determined through various approaches
Wagner, PhilippLanger, PatrickMäder, MarcusMarburg, Steffen
The paper presents a theoretical framework for the detection and first-level preliminary identification of potential defects on aero-structure components by employing ultrasonic-guided wave-based structural health monitoring strategies, systems and tools. In particular, we focus our study on ground inspection using a laser-Doppler scan of the surface velocity field, which can also be partly reconstructed or monitored using point sensors and actuators structurally integrated. Using direct wavefield data, we first question the detectability of potential defects of unknown location, size, and detailed features. Defects could be manufacturing defects or variations, which may be acceptable from a design and qualification standpoint; however, those may cause significant background signal artefacts in differentiating structure progressive damage or sudden failure like impact-induced damage and fracture. We consider the surface velocity field over continuous time stamps obtained from laser
Kolappan Geetha, GaneshRavi, Nitin. BRoy Mahapatra, Debiprosad
Innovators at NASA Johnson Space Center have developed a method and apparatus to multiplex Radio Frequency Identification (RFID) signals efficiently. The resulting Hyper-Distributed RFID Antenna (HYDRA) system enhances distribution of the RFID reader signal, providing improved coverage for large areas as well as for small, fixed regions requiring a high density of reader antennas. This greater coverage translates into better RFID sensing capabilities, higher localization accuracy, and enhanced logistics awareness.
This specification covers procedures for identifying wrought products of titanium and titanium alloys.
AMS G Titanium and Refractory Metals Committee
This specification covers procedures for identifying carbon and low-alloy steels, corrosion- and heat-resistant steels and alloys, maraging and other highly alloyed steels, and iron alloy sheet, strip, and plate, and aircraft tubing.
AMS F Corrosion and Heat Resistant Alloys Committee
Northwestern University researchers have developed new devices based on a low-cost material to aid in the detection and identification of radioactive isotopes. Using cesium lead bromide in the form of perovskite crystals, the research team found that they were able to create highly efficient detectors in both small, portable devices for field researchers and in very large detectors. The results are more than a decade in the making.
In the field of autonomous driving trajectory planning, it’s virtual to ensure real-time planning while guaranteeing feasibility and robustness. Current widely adopted approaches include decoupling path planning and velocity planning based on optimization method, which can’t always yield optimal solutions, especially in complex dynamic scenarios. Furthermore, search-based and sampling-based solutions encounter limitations due to their low resolution and high computational costs. This paper presents a novel spatio-temporal trajectory planning approach that integrates both search-based planning and optimization-based planning method. This approach retains the advantages of search-based method, allowing for the identification of a global optimal solution through search. To address the challenge posed by the non-convex nature of the original solution space, we introduce a spatio-temporal semantic corridor structure, which constructs a convex feasible set for the problem. Trajectory
Zhong, LiangLu, ChanggangWu, Jian
As a key technology of intelligent transportation system, vehicle type recognition plays an important role in ensuring traffic safety,optimizing traffic management and improving traffic efficiency, which provides strong support for the development of modern society and the intelligent construction of traffic system. Aiming at the problems of large number of parameters, low detection efficiency and poor real-time performance in existing vehicle type recognition algorithms, this paper proposes an improved vehicle type recognition algorithm based on YOLOv5. Firstly, the lightweight network model MobileNet-V3 is used to replace the backbone feature extraction network CSPDarknet53 of the YOLOv5 model. The parameter quantity and computational complexity of the model are greatly reduced by replacing the standard convolution with the depthwise separable convolution, and enabled the model to maintain higher accuracy while having faster reasoning speed. Secondly, the attention mechanism in
Liu, XinHong
Verification and validation (V&V) of autonomous vehicles (AVs) is a challenging task. AVs must be thoroughly tested, to ensure their safe functionality in complex traffic situations including rare but safety-relevant events. Furthermore, AVs must mitigate risks and hazards that result from functional insufficiencies, as described in the Safety of the Intended Functionality (SOTIF) standard. SOTIF analysis includes iterative identification of driving scenarios that are not only unsafe, but also unknown. However, identifying SOTIF’s unknown-unsafe scenarios is an open challenge. In this paper we proposed a systematic optimization-based approach for identification of unknown-unsafe scenarios. The proposed approach consists of three main steps including data collection, feature extraction and optimization towards unknown unsafe scenarios. In the data collection step, we proposed an efficient way of data collection by focusing on key areas of the Operational Design Domain (ODD) (e.g
Singh, Tajindervan Hassel, EdwinSheorey, AkshayAlirezaei, Mohsen
Water content estimation is a key problem for studying the PEM fuel cell. When several hundred fuel cells are connected in serial and their active surface area is enlarged for sufficient power, the difference between cells becomes significant with respect to voltage and water content. The voltage of each cell is measurable by the cell voltage monitor (CVM) while it is difficult to estimate water content of the individual. Resistance of the polymer electrolyte membrane is monotonically related to its water content, so that the new online high frequency resistance (HFR) measurement technique is investigated to identify the uniformity of water content between cells and analyze its sensitivity to operating conditions in this paper. Firstly, the accuracy of the proposed technique is experimentally validated to be comparable to that of a commercialized electrochemical impedance spectroscopy (EIS) measurement equipment. Secondly, the HFR of each cell of a 164-cell and 270 cm2 stack is
Hong, PoMing, PingwenZhang, Cunman
This paper delves into the investigation of flatness-based active damping control for hybrid vehicle transmissions. The main objective is to improve the current in-production controller performances without the need for additional sensors or observers. The primary goals include improving torque setpoint tracking, enhancing robustness margins, and ensuring zero steady-state torque correction. The investigation proceeds in several steps: Initially, both the general differential flatness property and the identification of flat outputs in linear dynamical systems are revisited. Subsequently, the bond graph formalism is employed to deduce straightforwardly the dynamical equations of the system. Next, a new flat output of the vehicle transmission is identified and utilized to formulate the trajectory tracking controller to align with the required control objectives and to fulfill the system constraints. Lastly, the efficacy of the novel control system is evaluated through simulation, and its
Achir, AliPatel, NadirshDivet, Vincent
This SAE Recommended Practice has been established to provide direction for the design and installation of an identification number (IN) as assigned to vehicle engines, transmissions, and transaxles. The IN is used for tracking or traceability of these components. In adhering to these recommended practices, facility of application in factory production and appearance quality are matters for manufacturer control. Reference SAE J853.
VIN - WMI Technical Committee
This SAE Recommended Practice establishes procedure for the issuance and assignment of a World Manufacturer Identifier (WMI) on a uniform basis to vehicle manufacturers who may desire to incorporate it in their Vehicle Identification Numbers (VIN). This recommended practice is intended to be used in conjunction with the recommendations for VIN systems described in SAE J853, J187, J272, and other SAE reports for VIN systems. These procedures were developed to assist in identifying the vehicle as to its point of origin. It was felt that review and coordination of the WMI by a single organization would avoid duplication of manufacturer identifiers and assist in the identification of vehicles by agencies such as those concerned with motor vehicle titling and registration, law enforcement, and theft recovery.
VIN - WMI Technical Committee
This information report presents recommendations on part number marking which provides for the maximum identification on bolts and nuts while ensuring adequate readability.
E-25 General Standards for Aerospace and Propulsion Systems
This specification provides requirements for the identification and packaging of sheet, strip, extrusions, and molded parts made of natural rubber, synthetic rubber, reclaimed rubber, and combinations of the above with other materials such as asbestos, cork, and fabrics. AMS2817 covers preferred requirements for identification and packaging of preformed packings.
AMS CE Elastomers Committee
In the context of distributed-driven electric vehicles, the temperature of permanent magnet in-wheel motors tends to rise during prolonged and overload operating conditions. This temperature increase can lead to parameter drift in the motors, resulting in a decline in motor control performance, and in severe cases, motor failures. To address these issues, this paper establishes a motor parameter identification model based on the dq-axis stator current equation of the permanent magnet in-wheel motor. An improved Particle Swarm Optimization PSO algorithm is introduced to identify parameters such as motor resistance, inductance, and magnetic flux. In contrast to traditional parameter identification algorithms based on mathematical models, the improved PSO algorithm can simultaneously identify multiple parameters without encountering rank deficiency issues. Moreover, to overcome the slow convergence speed and low identification accuracy associated with traditional PSO algorithms, the
Bu, LingshanHu, YimingZhang, Zhiwen
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