This content is not included in
your SAE MOBILUS subscription, or you are not logged in.
Noise and Vibration End-of-Line Production Testing and Analysis Challenges
Technical Paper
2019-01-1464
ISSN: 0148-7191, e-ISSN: 2688-3627
Annotation ability available
Sector:
Language:
English
Abstract
Theoretical modeling continues to play a larger role in noise and vibration engineering; however, until products are perfectly made, there will be a need to evaluate their end of the production line performance. Manufacturing production of a wide range of items has classically involved some amount of subjective and/or evolved objective quality testing along, or at the end of the production line. This testing can have goals of determining product safety, durability, functionality, and/or the vibration/sound quality. A vibration-based measurement approach is frequently used for many of those goals. Often, many modern products utilize some combination of electric motors, internal combustion engines, and power transmission rotational components. The end-of-line testing for many of these rotational components is after many years now heavily refined in the measurement and analysis methods, and the separation of good, bad and marginally bad samples may not always be challenging. It is frequently the non-standard types of products or unique operating conditions, either as subcomponents or assemblies, which may provide unique challenges to the typical measurement and analysis methods. Additionally, depending on how new the end-of-line evaluation process is to a manufacturing company, then the process may be aided with additional steps beyond typical site survey and final pass/fail system integration. These additional steps may include noise and vibration troubleshooting for source localization, informal or formal listening studies to rank good, bad and marginal samples, and the investigation of non-standard analysis methods. The goal is to always be able to reach performance standards at the end of the production line. Sometimes, the methods used for evaluation at the end of production may also then be refined and extended into lifelong condition monitoring of the product in a final application.
Recommended Content
| Journal Article | Distinction of Roller Bearing Defect from Gear Defect via Envelope Process and Autocorrelation Enhancement |
| Technical Paper | Application of NVH Techniques to Engine Production Line Test |
Authors
Topic
Citation
Moon, C., "Noise and Vibration End-of-Line Production Testing and Analysis Challenges," SAE Technical Paper 2019-01-1464, 2019, https://doi.org/10.4271/2019-01-1464.Also In
References
- Price , S.M. and Bernard , R.J. Virtual Coherence: A Digital Signal Processing Technique for Incoherent Source Identification Proceedings of the 4th International Modal Analysis Conference Los Angeles, CA 1986
- Hayward , M. , Bolton , J.S. , and Davies , P. The Application of Singular Value Decomposition to Determine the Sources of Far Field Diesel Engine Noise SAE Int. J. Engines 6 2 1386 1393 2013 10.4271/2013-01-1974
- Lebold , M. , McClintic , K. , Campbell , R. , Byington , C. , et al. Review of Vibration Analysis Methods for Gearbox Diagnostics and Prognostics Proceedings of the 54th Meeting of the Society for Machinery Failure Prevention Technology Virginia Beach, VA May 1-4, 2000 623 634
- Doebling , S. , Farrar , C. , Prime , M. A Summary Review of Vibration-Based Damage Identification Methods The Shock and Vibration Digest 30 2 91 105 1998
- Donskoy , D. , Sutin , A. , and Ekimov , A. Nonlinear Acoustic Interaction on Contact Interfaces and its Use for Nondestructive Testing NDT&E International 2000
- Jackson , J.E. A User’s Guide to Principal Components New York John Wiley & Sons Inc 1991
- Hair , A. and Tatham , B. Multivariate Data Analysis New Jersey Prentice Hall 1998
- Malhi , G. PCA-Based Feature Selection Scheme for Machine Defect Classification IEEE Transactions on Instrumentation and Measurement 53 6 2004
- Bartkowiak , A. and Zimroz , R. Sparse PCA for Gearbox Diagnostics Proceedings of the Federated Conference on Computer Science and Information Systems 2011 25 31
- He , K. and Yan Subspace-Based Gearbox Condition Monitoring by Kernel Principal Component Analysis Mechanical Systems and Signal Processing 21 1755 1772 2007
- Wang , M. and Fan , H. Rolling Element Bearing Fault Detection Using an Improved Combination of Hilbert and Wavelet Transforms Journal of Mechanical Science and Technology 23 2 3292 3301 2009
- Fan , L. and Yeap , K. A Joint Wavelet Lifting and Independent Component Analysis Approach to Fault Detection of Rolling Element Bearings Smart Materials and Structures 16 1973 1987 2007
- Hyvarinen , A. , Karhunen , J. , and Oja , E. Independent Component Analysis New York John Wiley & Sons 2001
- Berndt , D. and Clifford , J. 1994
- Narayanan , R. , Zaki , M. , and Tahar , S. Ensuring Correctness of Analog Circuits in Presence of Noise and Process Variations Using Pattern Matching Design, Automation & Test in Europe 2011