Author
S.B. Nielsen
Bio: S.B. Nielsen is an academic researcher from Aalborg University. The author has contributed to research in topics: Fault (power engineering) & Fault detection and isolation. The author has an hindex of 1, co-authored 1 publications receiving 70 citations.
Papers
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TL;DR: In this article, a review of model-based fault diagnosis techniques is provided, starting from basic principles, the properties and limitations of different methods are discussed, and the problems encountered in both the residual generation and evaluation stages of fault diagnosis have been outlined.
Abstract: This paper provides a review of model-based fault diagnosis techniques. Starting from basic principles, the properties and limitations of different methods are discussed. The main aim is to give some guide-lines for the use of model-based methods. Accordingly, the problems encountered in both the residual generation and evaluation stages of fault diagnosis have been outlined. A comparison of quantitative and qualitative methods is also given. Finally, the limitation of model-based methods and the alternative and supplementary use of heuristic knowledge are discussed.
74 citations
Cited by
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TL;DR: A bibliographical review on reconfigurable fault-tolerant control systems (FTCS) is presented, with emphasis on the reconfiguring/restructurable controller design techniques.
2,455 citations
TL;DR: The state of the art is outlined in a field which remains largely a theoretical topic with most application studies based upon aerospace systems and a basic literature review covering most areas of fault-tolerant control is provided.
562 citations
TL;DR: In this paper, a scheme for on-line fault detection and diagnosis (FDD) at the subsystem level in an air-handling unit (AHU) is described.
156 citations
TL;DR: A number of tests carried out on small-size three-phase asynchronous motors highlight the excellent promptness in detecting faults, low false alarm rate, and very good diagnostic performance.
Abstract: A DSP-based measurement system dedicated to the vibration analysis on rotating machines was designed and realized. Vibration signals are on-line acquired and processed to obtain a continuous monitoring of the machine status. In case of a fault, the system is capable of isolating the fault with a high reliability. The paper describes in detail the approach followed to built up fault and non-fault models together with the chosen hardware and software solutions. A number of tests carried out on small-size three-phase asynchronous motors highlight the excellent promptness in detecting faults, low false alarm rate, and very good diagnostic performance.
155 citations
18 May 1998
TL;DR: In this paper, the state of the art of residual generation techniques adopted in instrument fault detection and isolation is presented, both traditional and innovative methods are described evidencing their advantages and their limits and the improvement of analytical redundancy technique performances for better dealing with high-dynamic systems and/or with on-line applications are pointed out as the most interesting needs on which to focus the research efforts.
Abstract: The paper presents the state of the art of residual generation techniques adopted in instrument fault detection and isolation. Both traditional and innovative methods are described evidencing their advantages and their limits. The improvement of analytical redundancy technique performances for better dealing with high-dynamic systems and/or with on-line applications are pointed out as the most interesting needs on which to focus the research efforts.
110 citations