Denis Caillet - Academia.edu (original) (raw)

Denis Caillet

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Papers by Denis Caillet

Research paper thumbnail of Contribution à l'étude des textures des dépôts électrolytiques de zinc et de leur influence sur le comportement mécanique

Les toles d'acier revetues de zinc possedent des textures cristallographiques specifiques sui... more Les toles d'acier revetues de zinc possedent des textures cristallographiques specifiques suivant leur origine et leurs conditions de fabrication. La relation d'epitaxie impose les orientations, dans les depots realises a partir de bains chlorures, dans toute l'epaisseur du revetement alors que certains parametres d'elaboration causent une selection de variantes de la relation d'epitaxie. Les orientations cristallographiques des revetements determinent le comportement pendant un test de frottement plan et influencent fortement le coefficient de frottement. Leur influence est moindre sur le defaut de poudrage

Research paper thumbnail of Diagnostic Algorithm applied to an Automotive Engine

HAL (Le Centre pour la Communication Scientifique Directe), Jul 1, 1998

International audienc

Research paper thumbnail of Fuzzy Implications Handling Fault Detection and Isolation Problems

HAL (Le Centre pour la Communication Scientifique Directe), Sep 1, 1998

International audienc

Research paper thumbnail of Fuel Injection Engine Diagnosis

Springer eBooks, 1999

The strictness of antipollution constraints, the necessity of fuel economy or the development of ... more The strictness of antipollution constraints, the necessity of fuel economy or the development of comfort imply new control strategies for the automotive engine. With the increasing complexity of modern systems, diagnosis becomes a major theme for improving industrial process safety and reliability. This paper describes how the fuzzy logic can be used in diagnostic problems dedicated to the fuel injection automotive engine. The design of the diagnostic scheme is the following. Pertinent symptoms that respond to a given fault are generated. The residual computation detect whether a fault has occurs or not. Then, the analysis of these residuals with fuzzy logic operators perform the localisation procedure to determine the cause of the fault. Finally, the identification procedure is performed to determine the size of the fault. The decision is processed by fuzzy rules. In cooperation with Bosch company, over 2500 sensor data have been analysed for the purpose of diagnosing throttle sensor bias and manifold pressure bias. Results proved that the diagnostic tool is able to identify throttle sensor bias with a precision of 4 degrees and 130mbar for the manifold pressure. Then, an aided-computer diagnostic tool will be developed and future work will lead to the implementation of the method in an onboard diagnosis for autoadaptative injection control strategies.

Research paper thumbnail of Fuel Injection Engine Diagnosis

Advanced Microsystems for Automotive Applications 99, 1999

The strictness of antipollution constraints, the necessity of fuel economy or the development of ... more The strictness of antipollution constraints, the necessity of fuel economy or the development of comfort imply new control strategies for the automotive engine. With the increasing complexity of modern systems, diagnosis becomes a major theme for improving industrial process safety and reliability. This paper describes how the fuzzy logic can be used in diagnostic problems dedicated to the fuel injection automotive engine. The design of the diagnostic scheme is the following. Pertinent symptoms that respond to a given fault are generated. The residual computation detect whether a fault has occurs or not. Then, the analysis of these residuals with fuzzy logic operators perform the localisation procedure to determine the cause of the fault. Finally, the identification procedure is performed to determine the size of the fault. The decision is processed by fuzzy rules. In cooperation with Bosch company, over 2500 sensor data have been analysed for the purpose of diagnosing throttle sensor bias and manifold pressure bias. Results proved that the diagnostic tool is able to identify throttle sensor bias with a precision of 4 degrees and 130mbar for the manifold pressure. Then, an aided-computer diagnostic tool will be developed and future work will lead to the implementation of the method in an onboard diagnosis for autoadaptative injection control strategies.

Research paper thumbnail of Diagnostic algorithm applied to an automotive engine

Research paper thumbnail of Torque wrench with automatic detection of an exchangeable gear element so that the parameters used by a signal processing unit for the signals generated by strain gauges can be adjusted automatically

Research paper thumbnail of Contribution à l'étude des textures des dépôts électrolytiques de zinc et de leur influence sur le comportement mécanique

Les toles d'acier revetues de zinc possedent des textures cristallographiques specifiques sui... more Les toles d'acier revetues de zinc possedent des textures cristallographiques specifiques suivant leur origine et leurs conditions de fabrication. La relation d'epitaxie impose les orientations, dans les depots realises a partir de bains chlorures, dans toute l'epaisseur du revetement alors que certains parametres d'elaboration causent une selection de variantes de la relation d'epitaxie. Les orientations cristallographiques des revetements determinent le comportement pendant un test de frottement plan et influencent fortement le coefficient de frottement. Leur influence est moindre sur le defaut de poudrage

Research paper thumbnail of Diagnostic Algorithm applied to an Automotive Engine

HAL (Le Centre pour la Communication Scientifique Directe), Jul 1, 1998

International audienc

Research paper thumbnail of Fuzzy Implications Handling Fault Detection and Isolation Problems

HAL (Le Centre pour la Communication Scientifique Directe), Sep 1, 1998

International audienc

Research paper thumbnail of Fuel Injection Engine Diagnosis

Springer eBooks, 1999

The strictness of antipollution constraints, the necessity of fuel economy or the development of ... more The strictness of antipollution constraints, the necessity of fuel economy or the development of comfort imply new control strategies for the automotive engine. With the increasing complexity of modern systems, diagnosis becomes a major theme for improving industrial process safety and reliability. This paper describes how the fuzzy logic can be used in diagnostic problems dedicated to the fuel injection automotive engine. The design of the diagnostic scheme is the following. Pertinent symptoms that respond to a given fault are generated. The residual computation detect whether a fault has occurs or not. Then, the analysis of these residuals with fuzzy logic operators perform the localisation procedure to determine the cause of the fault. Finally, the identification procedure is performed to determine the size of the fault. The decision is processed by fuzzy rules. In cooperation with Bosch company, over 2500 sensor data have been analysed for the purpose of diagnosing throttle sensor bias and manifold pressure bias. Results proved that the diagnostic tool is able to identify throttle sensor bias with a precision of 4 degrees and 130mbar for the manifold pressure. Then, an aided-computer diagnostic tool will be developed and future work will lead to the implementation of the method in an onboard diagnosis for autoadaptative injection control strategies.

Research paper thumbnail of Fuel Injection Engine Diagnosis

Advanced Microsystems for Automotive Applications 99, 1999

The strictness of antipollution constraints, the necessity of fuel economy or the development of ... more The strictness of antipollution constraints, the necessity of fuel economy or the development of comfort imply new control strategies for the automotive engine. With the increasing complexity of modern systems, diagnosis becomes a major theme for improving industrial process safety and reliability. This paper describes how the fuzzy logic can be used in diagnostic problems dedicated to the fuel injection automotive engine. The design of the diagnostic scheme is the following. Pertinent symptoms that respond to a given fault are generated. The residual computation detect whether a fault has occurs or not. Then, the analysis of these residuals with fuzzy logic operators perform the localisation procedure to determine the cause of the fault. Finally, the identification procedure is performed to determine the size of the fault. The decision is processed by fuzzy rules. In cooperation with Bosch company, over 2500 sensor data have been analysed for the purpose of diagnosing throttle sensor bias and manifold pressure bias. Results proved that the diagnostic tool is able to identify throttle sensor bias with a precision of 4 degrees and 130mbar for the manifold pressure. Then, an aided-computer diagnostic tool will be developed and future work will lead to the implementation of the method in an onboard diagnosis for autoadaptative injection control strategies.

Research paper thumbnail of Diagnostic algorithm applied to an automotive engine

Research paper thumbnail of Torque wrench with automatic detection of an exchangeable gear element so that the parameters used by a signal processing unit for the signals generated by strain gauges can be adjusted automatically

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