This content is not included in your SAE MOBILUS subscription, or you are not logged in.
Diagnostic and Prognostic Metrics for Aerospace Propulsion Health Management Systems
- Aerospace Standard
Published October 14, 2020 by SAE International in United States
Downloadable datasets availableAnnotation ability available
This Aerospace Information Report (AIR) presents metrics for assessing the performance of diagnostic and prognostic algorithms and systems delivering propulsion health management functions.
With the increasing application of diagnostic and prognostic technologies within the propulsion system community, there is a need for standardized metrics that can be used by developers and end users alike for assessing the performance of algorithms and systems for diagnosing faults and predicting the future health state of a system. The focus of this document is to introduce a variety of metrics that can be used for this purpose. Originally published in 2020, this document consolidates and expands upon the contents of two previous SAE E-32 Committee documents to create a single comprehensive document on diagnostic and prognostic metrics for Aerospace Propulsion Health Management Systems. The details of the other two documents are as follows: With the publication of this document, the two superseded documents, AIR4985 and AIR5909, will be cancelled. This document consolidation strategy was agreed to by the SAE E-32 Committee to reduce the number of documents it is required to maintain.
Data Sets - Support Documents
|[Unnamed Dataset 1]|
|[Unnamed Dataset 2]|
|[Unnamed Dataset 3]|
|[Unnamed Dataset 4]|
|Table 1||Distribution in nominal and faulted engines|
|Table 2||ProDiMES sensed output parameters|
|Table 3||ROC AUC and AAC results|
|Table 4||TPR, TNR, FPR, and FNR detection metric results|
|Table 5||Fault detection metrics for WSSR fault detection method|
|Table 6||Fault detection metrics for 3 point median WSSR fault detection method|
|Table 7||CIR and kappa coefficient metric results|
|Table 8||Fault isolation metrics for WLS isolation with WSSR detection|
|Table 9||Fault isolation metrics for WLS isolation with median WSSR detection|
|Table 10||Fault isolation metrics for PNN isolation with WSSR detection|
|Table 11||Fault isolation metrics for PNN isolation with median WSSR detection|
|Table 12||Average bias, MAE, MAPE, and sample standard deviation results|
|Table 13||Estimated RUL results|
|Table 14||α-λ accuracy results|
|Table 15||RA and CRA results|
|[Unnamed Dataset 20]|
|[Unnamed Dataset 21]|
|[Unnamed Dataset 22]|
BackgroundEngine condition monitoring and rotorcraft HUMS(Health and Usage Monitoring Systems)can be used as a tool to track and restore engine performance, improve problem diagnosis, suggest solutions, promote better commercial and military aircraft operation, minimize in-flight failures, and reduce costs of engine maintenance. Because of these and other continuing objectives, the need for consolidated action by a group of experts to promote engine monitoring and rotorcraft conditio monitoring know-how and standards was identified. It was deemed appropriate by the SAE Propulsion Division to assign this task to a special committee designated as Committee E-32. The committee has existed for over 20 years and has 50 active members. Purpose / Charter Serves as a forum to gather, record, and publish expert information in the discipline of aircraft and helicopter engine condition monitoring and rotorcraft HUMS. The committee gathers and analyzes requirements for propulsion system monitoring for the various types of aircraft gas turbines and rotorcraft HUMS and develop standards and recommendations for the adoption of engine monitoring devices that affect the operation of gas turbine engines and rotorcraft. Objectives Identify potential engine and rotorcraft HUMS parameters suitable for sensing (pressure, temperature, etc.), and considerations involved in selecting parameters (potential problems, accuracy, cost, etc.). Analyze the various approaches to engine monitoring (e.g. airborne vibration monitoring systems and ground software interfaces, etc.) and establish criteria for the most cost-effective systems. Develop as appropriate, standards on engine and rotorcraft HUMS monitoring equipment and techniques, e.g. configuration of engine fittings for sensor connections, types of sensors, identification of signals which should be let to common diagnostic connectors, etc. Develop new requirements and uses for engine and rotorcraft HUS monitoring to promote cost-effective operation of aircraft. Sponsor technical conferences related to monitoring of air breathing engines and rotorcraft HUMS.
* Redlines comparisons are available for those standards listed in the Revision History that contain a radio button. A redline comparison of the current version against a revision is accomplished by selecting the radio button next to the standard and then selecting 'compare'. At this time, Redline versions only exist for some AMS standards. SAE will continue to add redline versioning with ongoing updates to SAE MOBILUS.