This paper presents the results of a study on fault-tolerant control of a ship propulsion benchmark [Izadi-Zamanabadi, R., & Blanke, M. (1999). A ship propulsion system as a benchmark for fault tolerant control. Control Engineering Practice, 7 (2), 227–239] which uses estimated or virtual measurements as feedback variables. The estimator operates on a self-adjustable design model so that its ou...

Problem statement: Fault reconstruction scheme is different from the majority of Fault Detection and Isolation (FDI) methods described in the literature in the sense that it not only detects and isolates the fault, but provides an estimate of the fault. This approach is very useful for incipient faults and slow drifts, which are very difficult to detect. Also, this approach is very useful for F...

Early detection and diagnosis of incipient faults is desirable for on-line condition assessment, product quality assurance, and improved operational efficiency of induction motors. At the same time, reducing the probability of false alarms increases the confidence of equipment owners in this new technology. In this paper, a model-based fault diagnosis system recently proposed by the authors for...

This article deals with fault detection and the classification of incipient intermittent open-transistor faults in grid-connected three-level T-type inverters. Normally, algorithms are developed for permanent faults. Nevertheless, difficulty to detect is much greater, appropriate methods required. requirement due fact that over time, its repetition may lead failures irreversible degradation. Th...

To My lovely wife, Tong Wang And my to-be-born baby girl, Lucia Wang i ABSTRACT This dissertation is a systematic study of artificial intelligence (AI) applications for the diagnosis of power transformer incipient fault. The AI techniques include artificial neural networks (ANN, or briefly neural networks-NN), expert systems, fuzzy systems and multivariate regression. The fault diagnosis is bas...

As the world progresses toward a digitally connected and sustainable future, integration of semi-supervised anomaly detection in wastewater treatment processes (WWTPs) promises to become an essential tool preserving water resources assuring continuous effectiveness plants. When these complex dynamic systems are coupled with limited historical data or anomalies, it is crucial have powerful tools...

Incipient fault detection in a hydraulic system is challenge the condition monitoring community. Existing research mainly monitors abnormal working conditions systems by separately detecting key parameter, which often causes high miss warning rate for incipient faults due to oversight of parameter dependence. A principal component analysis provides an effective method taking correlation multipl...

Wind turbines are increasingly expanding worldwide and Doubly-Fed Induction Generator (DFIG) is a key component of most them. Stator winding fault major in this equipment its incipient detection vital importance. However, there paucity research field. In study, novel machine learning-based method proposed for inter-turn short-circuit (ITF) the DFIG stator based on current signals stator. The ma...

Abstract Safety and reliability are absolutely vital for sophisticated Railway Point Machines (RPMs). Hence, various kinds of sensors transducers deployed on RPMs as much possible to monitor their behaviour detection incipient faults anticipation using data-driven technology. This paper firstly analyses summarizes six RPMs’ characteristics then reviews the algorithms applied fault diagnosis in ...