On-board sensor failure detection of an active suspension system using the generalized likelihood ratio approach
- 6 January 2003
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
Abstract
The authors extend the application of the generalized likelihood ratio (GLR) approach for on-board sensor failure detection and identification (FDI) of an active suspension system using a half-car (bicycle) model. It is assumed that the control design allows for one accelerometer and two linear variable differential transformers. The failures considered are bias and increased sensor noise. The advantages and limitations of the GLR approach in locating the failed sensor and in detecting different types of failures are assessed. It is concluded that the application of this approach is feasible when the failure can be modeled as a deterministic additive term. In other situations the computational requirements make it less practical.Keywords
This publication has 7 references indexed in Scilit:
- Process fault detection based on modeling and estimation methods—A surveyAutomatica, 1984
- Dynamic model-based techniques for the detection of incidents on freewaysIEEE Transactions on Automatic Control, 1980
- An Active Suspension with Optimal Linear State FeedbackVehicle System Dynamics, 1976
- Status report on the generalized likelihood ratio failure detection technique, with application to the F-8 aircraftPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1976
- A survey of design methods for failure detection in dynamic systemsAutomatica, 1976
- A generalized likelihood ratio approach to the detection and estimation of jumps in linear systemsIEEE Transactions on Automatic Control, 1976
- Joint detection, estimation and system identificationInformation and Control, 1971