Process Failure Analysis by Block Diagrams and Fault Trees

Caceres, Sergio; Henley, Ernest J.

doi:10.1021/i160058a009

Cited by 18 publications

(3 citation statements)

References 10 publications

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“…The analytical model-based approach [2][3][4] has great limitations in application due to the need to establish accurate mathematical models. Knowledge-based methods are mainly divided into two types: causal graph method [5][6][7] and fault tree method [8]. Zhang K et al [5] proposed a kernel-based conditional independence test for conditional independence testing in Bayesian network learning and causal discovery.…”

Section: Related Workmentioning

confidence: 99%

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Multi-source fault detection and diagnosis based on multi-level Knowledge Graph and Bayesian theory reasoning (S)

Sun¹,

Wang²

2019

International Conferences on Software Engineering and Knowledge Engineering

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In complex industrial processes, complex associations are often involved. This complex relationship makes traditional fault detection and diagnosis methods difficult to achieve satisfactory results in multi-source fault detection and diagnosis. Therefore, this paper proposes a new multi-source fault detection and diagnosis framework. The method can successfully detect the state of the system, and at the same time, can locate the fault source simply and quickly. This method firstly constructs the multi-level knowledge graph in the complex industrial process, and then use the discriminant coefficient R to detect whether the system has failed. If the system fails into the fault diagnosis stage, the probability of the fault is derived based on Bayesian theory. This article describes the framework in detail. The TE process is taken as an example to prove the effectiveness of the method. Keywords-complex industrial process, knowledge graph, bayesian theory, fault detection and diagnosisI.

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Section: Related Workmentioning

confidence: 99%

“…Experimental results show that it is superior to other methods. Caceres et al [8] proposed to establish the fault tree according to the structural block diagram of the system. However, the defect of knowledge-based approach is that it relies too much on production experience and process knowledge.…”

Section: Related Workmentioning

confidence: 99%

Multi-source fault detection and diagnosis based on multi-level Knowledge Graph and Bayesian theory reasoning (S)

Sun¹,

Wang²

2019

International Conferences on Software Engineering and Knowledge Engineering

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“…On the other hand, system structure can also be seen as a kind of generalized knowledge which can be used flexibly by researchers. For example, in Reference [ 90 ], a qualitative IFD method based on fault tree is established according to system structure diagrams. Here, fault tree is a typical qualitative diagnostic KB [ 58 ].…”

Section: Introductionmentioning

confidence: 99%

A Review of Intelligent Fault Diagnosis for High-Speed Trains: Qualitative Approaches

Cheng

Wang

Chen

et al. 2020

Entropy

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For ensuring the safety and reliability of high-speed trains, fault diagnosis (FD) technique plays an important role. Benefiting from the rapid developments of artificial intelligence, intelligent FD (IFD) strategies have obtained much attention in the field of academics and applications, where the qualitative approach is an important branch. Therefore, this survey will present a comprehensive review of these qualitative approaches from both theoretical and practical aspects. The primary task of this paper is to review the current development of these qualitative IFD techniques and then to present some of the latest results. Another major focus of our research is to introduce the background of high-speed trains, like the composition of the core subsystems, system structure, etc., based on which it becomes convenient for researchers to extract the diagnostic knowledge of high-speed trains, where the purpose is to understand how to use these types of knowledge. By reasonable utilization of the knowledge, it is hopeful to address various challenges caused by the coupling among subsystems of high-speed trains. Furthermore, future research trends for qualitative IFD approaches are also presented.

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Bibliography of literature on chemical systems reliability

Dhillon

Ugwu

1984

Microelectronics Reliability

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Process Failure Analysis by Block Diagrams and Fault Trees

Cited by 18 publications

References 10 publications

Multi-source fault detection and diagnosis based on multi-level Knowledge Graph and Bayesian theory reasoning (S)

Multi-source fault detection and diagnosis based on multi-level Knowledge Graph and Bayesian theory reasoning (S)

A Review of Intelligent Fault Diagnosis for High-Speed Trains: Qualitative Approaches

Bibliography of literature on chemical systems reliability

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