This content is not included in your SAE MOBILUS subscription, or you are not logged in.
Turbocharger's Failure Mode Criticality Analysis Using Fuzzy Logic
ISSN: 0148-7191, e-ISSN: 2688-3627
Published March 06, 2000 by SAE International in United States
Annotation ability available
Event: SAE 2000 World Congress
A Failure Mode, Effect and Criticality Analysis (FMECA) is a methodology used to define, identify and eliminate known and or potential failures in order to enhance the product's reliability and quality.
The Criticality Analysis plays an important role in FMECA. A method defines the failures' priority to find the most risk area. Traditionally, in automobile industry, the criticality assessment is based on the severity (S), frequency of occurrence (O), detection (D) of an item failure. The priority of the problems is articulated via the Risk Priority Number (RPN). This number is a product of the occurrence, severity and detection, i.e., the method assumes that the occurrence, severity and detection have same importance. Additionally, the component and system can only be in either of the two states: functioning or failed. However, it does not represent reality. In fact, failure mode is of fuzzy conception.
This paper describes a methodology, based on fuzzy logic, for prioritizing failures in criticality assessment. The failure severity, frequency of occurrence, detection and failure mode itself are represented as members of a fuzzy set, combined by matching them against rules in a rule base, evaluated with min-max inferencing, and then defuzzified to assess the criticality of the failure.
A turbocharger rotor-bearing subsystem's fuzzy-logic-based criticality assessment is conducted to demonstrate the method. The comparison of this method and RPN is presented to show the advantages of the new method.
|Technical Paper||Modelling and Real-time Simulation of a turbocharger with variable turbine geometry (VTG)|
|Technical Paper||OBD Engine Fault Detection Using a Neural Approach|
|Book||Automotive 48-volt Technology|
CitationXu, K., Zhu, M., and Luo, M., "Turbocharger's Failure Mode Criticality Analysis Using Fuzzy Logic," SAE Technical Paper 2000-01-1350, 2000, https://doi.org/10.4271/2000-01-1350.
- Stamatis D.H. FMEA and the QS-9000 requirement SAE paper 961265 61 71
- Quin S. Widera G.E.O. Uncertainty analysis in quantitative risk assessment Journal of Pressure Vessel Technology 118 Feb. 1996 121 124
- Heisler Heinz Advanced engine technology Edward Arnold London 1995
- Keller A.Z. Kara-Zaitri C. Further applications of fuzzy logic to reliability assessment and safety analysis Microelectron. Reliability 29 1989 399 404
- Bowles J.B. Peláez C.E. Fuzzy logic prioritization of failures in a system failure modes, effects and criticality analysis Reliability Engineering and System Safety 50 1995 203 213
- Zadeh L.A. The calculus of fuzzy if/then rules AI Expert 7 1992 23 27