Graph-Based Method for Fault Detection in the Iron-Making Process

An, Ruqiao; Yang, Chunjie; Pan, Yijun

doi:10.1109/access.2020.2976808

Cited by 9 publications

(2 citation statements)

References 30 publications

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“…Any far deviation from the density distance can be consider as faulty condition. In distance-based approach, An et al, [34] utilized Mahalanobis and Euclidean distances in determining the weight for minimum spinning tree. Similarly, McLeay et al, [35] used the Mahalanobis distance to measure the difference between a new sample and a threshold value.…”

Section: Unsupervised Fault Detection Techniques 51 Probabilistic Sta...mentioning

confidence: 99%

A Systematic Literature Review of Unsupervised Fault Detection Approach for Complex Engineering System

Sobran

Ismail²

2023

ARAM

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Monitoring complex engineering systems is an important countermeasure in managing the risk of faulty events. Observing the response of each process flow will avoid further damages in the production cycle. Both fault-tolerant approach that bears with faulty events and scheduled maintenance that helps to reduce tool wearing are deeply involved in condition-based monitoring methods implemented in factories. Thus, identification of faulty equipment is need to avoid major breakdown in the production system. A classification framework shows good performance in classifying faulty events, but a labelled dataset is usually financially consuming. Machine learning (ML) techniques have become a prospective tool in the unsupervised fault detection (UFD) approach to prevent total failures in complex engineering system. However, the efficiency of UFD applications, on the other hand, is determined by the selected ML method. This paper presents a systematic literature review of ML methods applied for UFD, highlighting the methods explored in this field and the success of today's state-of-the-art machine learning techniques. This review focuses on the Scopus scientific database and provides a useful information on ML techniques, challenges and opportunities, and new research works in the UFD field.

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Section: Unsupervised Fault Detection Techniques 51 Probabilistic Sta...mentioning

confidence: 99%

A Systematic Literature Review of Unsupervised Fault Detection Approach for Complex Engineering System

Sobran

Ismail²

2023

ARAM

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“…Compared with the methods based on computer algorithms, the advantage of such graph structure-based method is that the observable and unobservable states of Boolean networks can be determined directly. Besides, the structures of graphs are used to many areas such as fault detection [6], network sentiment analysis [7], and decision theory [8].…”

Section: Introductionmentioning

confidence: 99%

Matrix Approach to Formulate and Search k-ESS of Graphs Using the STP Theory

Yue

Yan

Deng

2021

Journal of Mathematics

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In this paper, the structure of graphs in terms of k-externally stable set (k-ESS) is investigated by a matrix method based on a new matrix product, called semitensor product of matrices. By defining an eigenvector and an eigenvalue of the node subset of a graph, three necessary and sufficient conditions of k-ESS, minimum k-ESS, and k-kernels of graphs are proposed in a matrix form, respectively. Using these conditions, the concepts of k-ESS matrix, minimum k-ESS matrix, and k-kernel matrix are introduced. These matrices provide complete information of the corresponding structures of a graph. Further, three algorithms are designed, respectively, to find all these three structures of a graph by conducting a series of matrix operation. Finally, the correctness and effectiveness of the results are checked by studying an example. The proposed method and results may offer a new way to investigate the problems related to graph structures in the field of network systems.

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