Application of model-based fault detection and diagnosis to the quality assurance of an automotive actuator

Pfeufer, Thomas

doi:10.1016/s0967-0661(97)00052-x

Cited by 24 publications

(6 citation statements)

References 2 publications

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“…The tire is modeled by linear state space equations. The equation error method (modeled by equation (2)) was applied to fault diagnosis in an electromechanical automotive throttle valve actuator [23].…”

Section: Equation Error Methodsmentioning

confidence: 99%

<title>Intelligent model-based diagnostics for vehicle health management</title>

Luo

Azam

et al. 2003

SPIE Proceedings

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The recent advances in sensor technology, remote communication and computational capabilities, and standardized hardware/software interfaces are creating a dramatic shift in the way the health of vehicles is monitored and managed. These advances facilitate remote monitoring, diagnosis and condition-based maintenance of automotive systems. With the increased sophistication of electronic control systems in vehicles, there is a concomitant increased difficulty in the identification of the malfunction phenomena. Consequently, the current rule-based diagnostic systems are difficult to develop, validate and maintain. New intelligent model-based diagnostic methodologies that exploit the advances in sensor, telecommunications, computing and software technologies are needed. In this paper, we will investigate hybrid model-based techniques that seamlessly employ quantitative (analytical) models and graph-based dependency models for intelligent diagnosis. Automotive engineers have found quantitative simulation (e.g. MATLAB/SIMULINK) to be a vital tool in the development of advanced control systems. The hybrid method exploits this capability to improve the diagnostic system's accuracy and consistency, utilizes existing validated knowledge on rule-based methods, enables remote diagnosis, and responds to the challenges of increased system complexity. The solution is generic and has the potential for application in a wide range of systems.

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Section: Equation Error Methodsmentioning

confidence: 99%

<title>Intelligent model-based diagnostics for vehicle health management</title>

Luo

Azam

et al. 2003

SPIE Proceedings

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“…The least-squares parameter estimation requires the time derivatives of the noisy input and output variables, and estimation of these time derivatives poses a considerable numerical challenge. The equation error method has been used for fault diagnosis in an electromechanical automotive throttle valve actuator in reference [46].…”

Section: Approaches To Fault Detection and Diagnosis Of Engineered Systemsmentioning

confidence: 99%

A survey on diagnostic methods for automotive engines

Mohammadpour

Franchek

Grigoriadis

2011

International Journal of Engine Research

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Faults affecting automotive engines can potentially lead to increased emissions, increased fuel consumption, or engine damage. These negative impacts may be prevented or at least alleviated if faults can be detected and isolated in advance of a failure. United States Federal and State regulations dictate that automotive engines operate with high-precision onboard diagnosis (OBD) systems that enable the detection of faults, resulting in higher emissions that exceed standard thresholds. In this paper, we survey and discuss the different aspects of fault detection and diagnosis in automotive engine systems. The paper collects some of the efforts made in academia and industry on fault detection and isolation for a variety of component faults, actuator faults, and sensor faults using various data-driven and model-based methods.

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“…13 Recently, model-based fault detection schemes have been proposed in the literature. 14,15 There is an extensive literature on sliding mode control (SMC) including the derivation of robust controllers for air path control. Indeed, SMC and higher-order SMC is considered to be one of the most effective Laboratoire Systèmes et Transports, Université de Technologie BelfortMontbéliard, France methods to control uncertain conditions.…”

Section: Introductionmentioning

confidence: 99%

Second-order sliding mode controllers: an experimental comparative study on a mechatronic actuator

Harmouche

Laghrouche

Ahmed

et al. 2012

Proceedings of the Institution of Mechanical Engineers, Part I:

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Numerous advanced control techniques for actuator control of an engine's air path have been developed in recent years. Among these approaches, the performance of sliding mode controllers stands out due to their robustness against changes in the physical conditions around the engine. This paper presents the design and testing of three high-order sliding mode controllers and a comparison of their performance in controlling a mechatronic engine air path valve. The most effective strategies are further tested for their robustness against variations in temperature and load conditions. The experimental results show the effectiveness and robustness of the controllers. Comparative results are presented that allow the performance of the considered algorithms to be compared both with respect to each other and with respect to sliding surfaces.

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Application of model-based fault detection and diagnosis to the quality assurance of an automotive actuator

Cited by 24 publications

References 2 publications

<title>Intelligent model-based diagnostics for vehicle health management</title>

<title>Intelligent model-based diagnostics for vehicle health management</title>

A survey on diagnostic methods for automotive engines

Second-order sliding mode controllers: an experimental comparative study on a mechatronic actuator

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