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

These are good ones to begin with.

Thank you so much everyone for your inputs. Means a lot.

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