This paper discusses the problem of fault diagnosis under multiple sequential faults occurrence. In industrial applications this type of fault is the most common since the continuous operation of systems/processes is required. The fault diagnosis algorithms should cope with such type of multiple faults, but degradation in their fault isolation capabilities is introduced until the point that the...

Overview of Fault Detection Security and reliability are of great importance in control system technology. To ensure a reasonable level of security and reliability, the need for failure detection (diagnosis) techniques has long been recognized. Roughly speaking, a failure is any kind of malfunction of the system that leads to unacceptable performance. Failure detection consists of techniques fo...

This tutorial paper gives an overview of automated diagnosis applied to software faults. The emphasis is on a particular technique called spectrum-based fault localization, which is well-suited for diagnosing software systems, and which can easily be integrated with existing testing schemes. We discuss applications of the technique, including the specific application domain of embedded software...

A fault diagnosis system based on LabVIEW is researched to analyze the rotating machinery fault. By developing data acquisition, signal analysis, processing and simulation, pattern recognition and fault diagnosis modules, this system can automatically measure and identify the shaft orbit of a rotor and get fault results. A pattern recognition method on the basis of the invariant moment algorith...

Computer diagnosis systems grounded on hand-crafted fault trees are widespread in industrial practice. Since the complexity of technical systems increases and innovation cycles get shorter, the need for systematic fault tree generation and maintenance arises. In this paper, the MAD system is introduced which generates fault trees based on models of technical devices. Since a fault tree can be g...

This paper presents a new methodology for fault diagnosis, based on the natural hierarchy of components and sub-components in electrical and/or mechanical systems. In the first section, the advantages of hierarchically decomposing learning tasks are discussed. In the second section, the author’s fault diagnosis system, DE/ IFT, is introduced. The underlying algorithm, the training cycle and the...

Abstract With the rapid development of information technology, informatization, integration and complexity more large equipment are increasing day by day, so it is very important to carry out fault diagnosis for such complex equipment. In traditional way, expert system technology usually used However, with data information, methods cannot solve requirements in case a amount data. Therefore, dat...

This paper concentrates on a new procedure which experimentally recognises gears and bearings faults of a typical gearbox system using a least square support vector machine (LSSVM). Two wavelet selection criteria Maximum Energy to Shannon Entropy ratio and Maximum Relative Wavelet Energy are used and compared to select an appropriate wavelet for feature extraction. The fault diagnosis method co...