Real Time Detection Filters for Onboard Diagnosis of Incipient Failures 890763
This paper presents the real time implementation of detection filters for the diagnosis of incipient failures in electronically controlled internal combustion (IC) engines. The detection filters are implemented in a production vehicle.
Recent results [1] have demonstrated the feasibility of a model-based failure detection and isolation (FDI) methodology for detecting partially failed components in electronically controlled vehicle subsystems. The present paper describes the real time application of the FDI concept to the detection of faults in sensors associated with the engine/controller
In a detection filter, the performance of the engine/controller system is continuously compared to a prediction based on sensor measurements and an analytical model (typically a control model) of the system. Any discrepancy between actual and predicted performance is analyzed to identify the unique failure signatures related to specific system components.
The FDI methodology described in this paper is applicable to any electronically controlled subsystem; the real time implementation suggests its potential for increasing overall system reliability.
Citation: Rizzoni, G., Hampo, R., Liubakka, M., and Marko, K., "Real Time Detection Filters for Onboard Diagnosis of Incipient Failures," SAE Technical Paper 890763, 1989, https://doi.org/10.4271/890763. Download Citation
Author(s):
Giorgio Rizzoni, Richard Hampo, Michael Liubakka, Kenneth Marko
Affiliated:
The University of Michigan, Ford Motor Co.
Pages: 8
Event:
SAE International Congress and Exposition
ISSN:
0148-7191
e-ISSN:
2688-3627
Also in:
Engine Management and Driveline Controls-SP-0788, SAE Transactions Journal of Passenger Cars-V98-6
Related Topics:
Sensors and actuators
Combustion and combustion processes
Reliability
Production
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