Design of Observer-Based Fault Detection Structure for Unknown Systems using Input–Output Measurements: Practical Application to BLDC Drive

Eissa, Mona A.; Darwish, R. R.; Bassiuny, A. M.

doi:10.2478/pead-2019-0017

Cited by 3 publications

(2 citation statements)

References 27 publications

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“…So, the main advantage of the proposed approach based on the hybrid observer is to illustrate the importance of the switched systems modelling in order to detect its different faults whether they are a continuous or a discrete type. Several researches [24,25] address the development of system diagnosis based on classical procedure. Its performance is limited only to detect continuous faults with a sanction of the effects of the part of the discrete events on the system functioning.…”

Section: Discussionmentioning

confidence: 99%

Fault diagnosis for hybrid systems based on a bank of linear observers and a discrete automaton

Gara

Saad

2020

SN Appl. Sci.

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This paper presents a fault diagnosis approach for a four-tank system considered as a hybrid dynamical system. The proposed diagnosis approach is based on a hybrid observer composed of a discrete automaton and a bank of linear observers. An automaton is used to improve the performance of the proposed method. For this study, we considered sensor, parametric and discrete faults. Simulation results showed the efficiency of the proposed diagnosis approach to detect and to localize the considered faults, despite the hybrid behaviors of the studied system.

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Section: Discussionmentioning

confidence: 99%

Fault diagnosis for hybrid systems based on a bank of linear observers and a discrete automaton

Gara

Saad

2020

SN Appl. Sci.

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“…certain combinations of these parameters which indicate this fault. In more complex cases other algorithms such as the well-known observer-based fault detection method could allow the detection and identification of the fault [18]. sciENcE aNd tEchNology…”

Section: Design Aspects On the Function Levelmentioning

confidence: 99%

Fault-tolerant design for increasing the reliability of an autonomous driving gear shifting system

Stetter¹,

Göser²,

Gresser³

et al. 2020

Eksploatacja i Niezawodność – Maintenance and Reliability

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The reliability of technical systems can be greatly reduced if possible faults cannot be accommodated but lead to system shut-down with sometimes catastrophic consequences. The algorithms and systems of fault-tolerant control were developed in the last years into a powerful tool to accommodate such faults. Additionally, it became obvious that the design of a technical system can ease or hinder the application of these tools and can also lead to the accommodation of faults be itself. This kind of design – fault-tolerant design – and its components are presented in this paper on the example of a shifting system for the gear box an autonomous driving race car. This race car competes in the well-known formula student driverless competition; in such competitions the reliability of the car and the capability to accommodate not avoidable faults is of paramount importance. The different elements of fault-tolerance incorporated in the design of the gear shifting system are explained on the basis of an established model of product concretization.

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Fault Detection and Diagnosis of the Electric Motor Drive and Battery System of Electric Vehicles

2023

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Fault detection and diagnosis (FDD) is of utmost importance in ensuring the safety and reliability of electric vehicles (EVs). The EV’s power train and energy storage, namely the electric motor drive and battery system, are critical components that are susceptible to different types of faults. Failure to detect and address these faults in a timely manner can lead to EV malfunctions and potentially catastrophic accidents. In the realm of EV applications, Permanent Magnet Synchronous Motors (PMSMs) and lithium-ion battery packs have garnered significant attention. Consequently, fault detection methods for PMSMs and their drives, as well as for lithium-ion battery packs, have become a prominent area of research. An effective FDD approach must possess qualities such as accuracy, speed, sensitivity, and cost-effectiveness. Traditional FDD techniques include model-based and signal-based methods. However, data-driven approaches, including machine learning-based methods, have recently gained traction due to their promising capabilities in fault detection. This paper aims to provide a comprehensive overview of potential faults in EV motor drives and battery systems, while also reviewing the latest state-of-the-art research in EV fault detection. The information presented herein can serve as a valuable reference for future endeavors in this field.

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Design of Observer-Based Fault Detection Structure for Unknown Systems using Input–Output Measurements: Practical Application to BLDC Drive

Cited by 3 publications

References 27 publications

Fault diagnosis for hybrid systems based on a bank of linear observers and a discrete automaton

Fault diagnosis for hybrid systems based on a bank of linear observers and a discrete automaton

Fault-tolerant design for increasing the reliability of an autonomous driving gear shifting system

Fault Detection and Diagnosis of the Electric Motor Drive and Battery System of Electric Vehicles

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