Parameter Estimation of DC-DC Converters for Failure Detection Based on Linear Approximation Model

2021 ◽  
Author(s):  
Takato Kimura ◽  
Hidenori Maruta
Keyword(s):  
Parameter Estimation ◽  
Linear Approximation ◽  
Failure Detection ◽  
Approximation Model

On-Board Real-Time Failure Detection and Diagnosis of Automotive Systems

1990 ◽  
Vol 112 (4) ◽  
pp. 769-773 ◽  
Author(s):  
C. D. de Benito
Keyword(s):  
Parameter Estimation ◽  
Failure Detection ◽  
Estimation Problem ◽  
Uncertain Parameters ◽  
Characteristic Parameters ◽  
Parameter Estimation Problem ◽  
Automotive Systems ◽  
Abrupt Changes ◽  
Failure Detection And Diagnosis ◽  
Detection And Diagnosis

This paper presents a failure detection and diagnosis (FDD) technique for on-board vehicle applications. Failures are represented by abrupt changes in the characteristic parameters of a system that occur at random instants of time. This representation facilitates the formulation of the FDD problem as a combined state and parameter estimation problem of a system with uncertain parameters. This nonlinear estimation problem is solved using a Bayesian approach and implementing a suboptimal algorithm. The performance of the FDD system is demonstrated in simulations of an active suspension subjected to sensor failures. In the simulations, the system detected and diagnosed the failures correctly within .05 seconds from their occurrence.

scholarly journals A Study on Optical Actuator Using Bimetal Element. (1st Report. Analysis of Basic Characteristics and Linear Approximation Model).

1998 ◽  
Vol 64 (624) ◽  
pp. 3062-3068
Author(s):  
Ruipeng LIU ◽  
Masao MIAKI ◽  
Yuichi NAKAGAWA ◽  
Motofumi HATTORI ◽  
Tetsuya KIMURA ◽  
...  
Keyword(s):  
Linear Approximation ◽  
Approximation Model ◽  
Report Analysis ◽  
Basic Characteristics
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