I am working on fault identification/classification and was wondering if anyone knows a good literature review reference that lists available methods and provides a comparison study on these methods?
Dear Afshin,
Attached please find two publications that cover the topic of concern:
1-VOLUME 11, NUMBER 1 HVAC&R RESEARCH JANUARY 2005
3
REVIEW ARTICLE (see attached file).
Methods for Fault Detection, Diagnostics, and Prognostics for Building Systems—
A Review, Part I
Srinivas Katipamula, PhD Michael R. Brambley, PhD
Poorly maintained, degraded, and improperly controlled equipment wastes an estimated 15% to 30% of energy used in commercial buildings. Much of this waste could be prevented with widespread adoption of automated condition-based maintenance. Automated fault detection and diagnostics (FDD) along with prognostics provide a cornerstone for condition-based maintenance
of engineered systems. Although FDD has been an active area of research in other fields for more than a decade, applications for heating, ventilating, air conditioning, and refrigeration (HVAC&R) and other building systems have lagged those in other industries. Nonetheless, over the last decade there has been considerable research and development targeted toward developing FDD methods for HVAC&R equipment. Despite this research, there are still only a handful of FDD tools that are deployed in the field. This paper is the first of a two-part review of methods
for automated FDD and prognostics whose intent is to increase awareness of the HVAC&R research and development community to the body of FDD and prognostics developments in other fields as well as advancements in the field of HVAC&R. This first part of the review focuses on generic FDD and prognostics, providing a framework for categorizing methods, describing them, and identifying their primary strengths and weaknesses. The second paper in this review, to be published in the April 2005 International Journal of HVAC&R Research, will
address research and applications specific to the fields of HVAC&R.
2-Fault Detection and Diagnosis in Engineering Systems (see attached file).
Basic concepts with simple examples
Janos Gertler
3-Process Fault Detection Based on Modeling and Estimation (see attached file).
Methods A Survey
ROLF ISERMANN
4utomatica. Vo[. 20. No. 4. pp. 3~7-4(M. 1984 0005 1098 ~;4¢ S3.00 ~0.00
Printed in Great Brit
Abstract--The supervision of technical processes is the subject of
increased development because of the increasing demands on
reliability and safety. The use of process computers and
microcomputers permits the application of methods which result
in an earlier detection of process faults than is possible by
conventional limit and trend checks. With the aid of process
models, estimation and decision methods it is possible to also
monitor nonmeasurable variables like process states, process
parameters and characteristic quantities. This contribution
presents a brief summary of some basic fault detection methods.
This is followed by a description of suitable parameter estimation
methods for continuous-time models. Then two examples are
considered, the fault detection of an electrical driven centrifugal
pump by parameter monitoring and the leak detection for
pipelines t~y a special correlation method.
4-Chapter 2 (see attached file).
Fault Detection and Diagnosis
In this chapter, we start with the formal definition and formulation of the fault detection
and diagnosis problem in nonlinear systems. Then, desired attributes of a fault
diagnosis system and the rationale behind each attribute are discussed. A comprehensive survey and analysis of the literature on model-based and computational intelligence (CI)-based approaches to fault diagnosis is then presented with individual emphasis on the tasks of detection, isolation and identification. A number of well-known methodologies within each approach are further demonstrated, and their respective advantages and disadvantages are highlighted. Finally, the issue of robustness in fault diagnosis is introduced and briefly discussed.
5-International Journal of Computer Science & Applications © 2004 Technomathematics Research Foundation
Vol. I, No. 1, pp. 12 - 30
On-Line Fault Detection Techniques for Technical
Systems: A Survey
C. Angeli
Abstract: On-line fault detection and isolation techniques have been developed for
automated processes during the last few years. These methods include numerical methods, artificial intelligence methods or combinations of the two methodologies. This paper includes a reference to recent research work on numerical methods, an extensive presentation of artificial intelligence methods used for the fault detection process in technical systems and relevant survey material. Special reference is made to the on-line expert systems development where specific resent research work is illustrated.
Hoping this will be helpful,
Rafik
Hello
Also look at these articles.
Good Luck
http://www.sciencedirect.com/science/article/pii/S1574013715000027
Article A survey of the state-of-the-art fault attacks
Hello Afshin,
I can recommend this reference:
- Fault-Diagnosis Systems - An introduction from Fault Detection to Fault Tolerance of Rolf Isermann - ISBN 9783540241126
- Fault Diagnosis Applications - Model-based condition monitoring: Actuators, drives, machinery, plants, sensors, and fault-tolerant systems - Rolf Isermann - ISBN 9783642127663
I hope it can help.
Best regards
Nicolas
Murari Mohan Saha, Jan Izykowski, Eugeniusz Rosolowski,” Fault Location on Power Networks”, Springer-Verlag London Limited....This book may help you lot....
Regards
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