Fault diagnosis of machines
01 Feb 1994-Sadhana-academy Proceedings in Engineering Sciences (Springer India)-Vol. 19, Iss: 1, pp 23-50
TL;DR: Four major approaches for diagnosing machine faults are presented and how the knowledge is represented and what diagnosis technique is to be adopted, and their relative advantages and disadvantages are discussed.
Abstract: This paper presents four major approaches for diagnosing machine faults. Given the description of a system to be diagnosed and the observations on the system when it works, the need for diagnosis arises when the observations are different from those expected. The objective of diagnosis is to identify the malfunctioning components in a systematic and efficient way. The four approaches discussed are based on fault-tree, rule, model, and qualitative model. Early diagnosis systems used fault-tree and rule-based approaches. These are efficient in situations where an expert is able to provide the knowledge in the form of associations between symptoms and faults. Model-based and qualitative model-based approaches overcome many of the deficiencies of the earlier approaches. Model-based approaches can take care of situations (faults) not envisageda priori. Also, one can cater to minor variations in design using the same set of components and their interconnections. This paper discusses in each case, how the knowledge is represented and what diagnosis technique is to be adopted, and their relative advantages and disadvantages. Implementation of each method is also discussed.
References
More filters
PARC1
TL;DR: A set of concerns for interfacing with the ATMS, an interface protocol, and an example of a constraint language based on the protocol are presented, which concludes with a comparison of the AT MS and the view of problem solving it entails with other approaches.
267 citations
"Fault diagnosis of machines" refers background in this paper
...this, and forms one of the components of the overall problem solving system ( de Kleer 1986b; Dressler & Farquhar 1990)....
[...]
...Now the bulk of the problem solving can be organized within the ATMS using consumers ( de Kleer 1986b; Dressier & Farquhar 1990), where a consumer is a piece of code attached to a node which does some problem-solving work at the node....
[...]
PARC1
TL;DR: The main idea is to reproduce the physicist's ability to evaluate the influence of different phenomena according to their relative order of magnitude and to use this information to distinguish among radically different ways in which a physical system may behave.
258 citations
TL;DR: An expert system which can estimate possible fault sections using the information on operating protective relays and tripped circuit breakers and is written in Prolog.
Abstract: This paper deals with an expert system which can estimate possible fault sections using information from protective relays and circuit breakers. This system is applicable to dispatching centers and can help dispatchers to judge emergency situations as the first step in restoration procedures. When some faults occur, the system makes inferences based on both knowledge about protection systems and information on the operating protective relays and tripped circuit breakers. The system can give possible answers even in the case of multiple faults and false operations of relays and circuit breakers. This expert system is written in Prolog.
238 citations
IBM1
TL;DR: The main idea is to reproduce the physicist's ability to evaluate the influence of different phenomena according to their relative order of magnitude and to use this information to distinguish among radically different ways in which a physical system may behave.
Abstract: This paper presents a methodology for extending representation and reasoning in Qualitative Physics. This methodology is presently used for various applications. The qualitative modeling of a physical system is weakened by the lack of quantitative information. This may lead a qualitative analysis to ambiguity. One of the aims of this methodology is to cope with the lack of quantitative information. The main idea is to reproduce the physicist's ability to evaluate the influence of different phenomena according to their relative order of magnitude and to use this information to distinguish among radically different ways in which a physical system may behave. A formal system, FOG, is described in order to represent and structure this kind of apparently vague and intuitive knowledge so that it can be used for qualitative reasoning. The validity of FOG for an interpretation in a mathematical theory called Non-Standard Analysis is then proven. Last, it is shown how FOG structures the quantity-space.
156 citations
21 Aug 1988
TL;DR: A set of conventions for modeling assumptions can be directly represented in Qualitative Process theory, using a multi-grain, multi-slice model of a Navy propulsion plant for illustration and it is shown that model selection can often be performed automatically via partial instantiation.
Abstract: A qualitative physics which captures the depth and breadth of an engineer's knowledge will be orders of magnitude larger than the models of today's qualitative physics. To build and use such models effectively requires explicit modeling assumptions to manage complexity. This, in turn, gives rise to the problem of selecting the right qualitative model for some purpose. This paper addresses these issues by describing a set of conventions for modeling assumptions. Simplifying assumptions decompose a domain into different grain sizes and perspectives which may be reasoned about separately. Operating assumptions reduce the complexity of qualitative simulation by focusing on particular behaviors of interest. We show how these assumptions can be directly represented in Qualitative Process theory, using a multi-grain, multi-slice model of a Navy propulsion plant for illustration. Importantly, we show that model selection can often be performed automatically via partial instantiation. We illustrate this technique with a simple explanation generation program that uses the propulsion plant model to answer questions about physical and functional characteristics of its operation.
106 citations
"Fault diagnosis of machines" refers methods in this paper
...Several approaches to qualitative reasoning with multiple models have been made (Collins & Forbus 1987; Falkenhainer & Forbus 1988; Addanki et al 1989; Hibler & Biswas 1989; Liu & Farley 1990)....
[...]