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Cited by 1,416

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Fault Detection and Diagnosis in Industrial Systems

Braatz, L H Chiang, E L Russell and R D·2001·Measurement Science and Technology

Abstract

The appearance of this book is quite timely as it provides a much needed state-of-the-art exposition on fault detection and diagnosis, a topic of much interest to industrialists. The material included is well organized with logical and clearly identified parts; the list of references is quite comprehensive and will be of interest to readers who wish to explore a particular subject in depth. The presentation of the subject material is clear and concise, and the contents are appropriate to postgraduate engineering students, researchers and industrialists alike. The end-of-chapter homework problems are a welcome feature as they provide opportunities for learners to reinforce what they learn by applying theory to problems, many of which are taken from realistic situations. However, it is felt that the book would be more useful, especially to practitioners of fault detection and diagnosis, if a short chapter on background statistical techniques were provided. Joe Au

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Metadata

Authors
Braatz, L. H. C.
Venue
Measurement Science and Technology
Published
2001-09-12
Volume
12
Issue
10
Pages
1745-1745
ISSN
  • 0957-0233 (ISSN-L)
  • 1361-6501
OpenAlex
W2166042538
Cited by
1,416
References
0
FWCI
43.05
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Fault Detection and Diagnosis in Industrial Systems. https://app.cochat.ai/papers/10.1088/0957-0233/12/10/706
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Braatz, L. H. C. (2001). Fault Detection and Diagnosis in Industrial Systems. Measurement Science and Technology. https://doi.org/10.1088/0957-0233/12/10/706

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.