Decision fusion method for fault diagnosis based on closeness and Dempster-Shafer theory

Gao, Xiue; Jiang, Panling; Xie, Wenxue; Chen, Yufeng; Zhou, Shengbin; Chen, Bo

doi:10.3233/jifs-210283

Cited by 10 publications

(3 citation statements)

References 20 publications

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“…This method has strong flexibility, but it needs some data preprocessing. There are mainly voting method [19], fuzzy integral method [20], fuzzy logic method [21] and evidence theory method [22,23], etc.…”

Section: Summary Of Information Fusion Fault Diagnosis Methodsmentioning

confidence: 99%

Intelligent fault diagnosis methods for hydraulic components based on information fusion: review and prospects

Guan,

Ren,

Tang

et al. 2024

Meas. Sci. Technol.

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Hydraulic component faults have the characteristics of nonlinear time-varying signal, strong concealment, and difficult feature extraction, etc. Timely and accurately fault diagnosis of hydraulic components is helpful to curb economic losses and accidents, so researches have carried out a lot of research on hydraulic components. Information fusion technology can combine multi-source data from multiple dimensions to mine fault data characteristics, which effectively improves the accuracy and reliability of fault diagnosis results. However, there is currently a lack of a comprehensive and systematic review in this domain. Therefore, in this paper, the hydraulic components information fusion fault diagnosis technologies are summarized and analyzed, including the main process information fusion fault diagnosis and the research status of information fusion fault diagnosis of hydraulic system. The methods and techniques involved in the fusion process, data source and fusion method of fault diagnosis of hydraulic components information fusion are described and summarized. The problems of information fusion in fault diagnosis of hydraulic components are analyzed, the solutions are discussed, and the research ideas of improving information fusion fault diagnosis are put forward. Finally, digital twin technology is introduced, and the advantages and research status of intelligent fault diagnosis based on digital twin are summarized. On this basis, the intelligent fault diagnosis of hydraulic components based on information fusion is summarized, and the challenges and future research ideas of applying information fusion and digital twin to intelligent fault diagnosis of hydraulic components are put forward and analyzed comprehensively.

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Section: Summary Of Information Fusion Fault Diagnosis Methodsmentioning

confidence: 99%

Intelligent fault diagnosis methods for hydraulic components based on information fusion: review and prospects

Guan,

Ren,

Tang

et al. 2024

Meas. Sci. Technol.

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“…Since 1967, DS evidence theory (Dempster 1967;Shafer 1967) has been widely used in different fields, such as information fusion, fault diagnosis, expert identification, and target identification (Gao et al 2021;Khan and Anwar 2019;Wickramarathne et al 2013). In the absence of prior information, the DS evidence method could complete multi-sensor data fusion and judgment.…”

Section: Introductionmentioning

confidence: 99%

Technical Status Evaluation of River Training Works Based on the Improved DS Evidence Theory

Zhu

Chu

Yu³

et al. 2023

Lecture Notes in Civil Engineering

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A large number of river training works have been built in the inland waterway regulation projects to improve ship navigation conditions. However, water damages to river training works happen frequently in practice. Technical status evaluation of river training works is regarded as a fundamental content of inland waterway maintenance. Due to the various influencing factors and complex mechanisms, the content involved in the standard files is recognized as qualitative and no quantitative evaluation method is recommended so far. The technical status of river training works is currently evaluated through on-site investigation which is time-consuming and individual-dependent. By means of multi-source sensors, massive status data of river training works could be obtained instantaneously. Study on the technical evaluation model based on the multi-source information fusion theory attracts more attention in recent years. The classical DS evidence theory could fail as evidence conflict occurs. Thus, the Pearson’s correlation coefficient is calculated and utilized to update the probability distribution in the present study. A novel technical status evaluation model based on the improved DS evidence theory is established. The model is further verified through three case studies of traditional river training works (spur dike and flexible mattress belt) in the Yangtze River, China. The model outputs are consistent with the technical survey reports as well as the published research article. Quantitative and accurate evaluation of river training works could be accomplished by applying the proposed evaluation model. Moreover, the model could be embedded in the Inland Electronic Chart Display and Information System. The present study would provide theoretical basis for inland waterway maintenance and infrastructure monitoring in the future.

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“…It can effectively reduce data redundancy and obtain more accurate result by integrating the data from different sources such as sensors, experts or platforms. Nowadays, the technology of data fusion plays an important role in risk analysis [1], pattern recognition [2], decision making [3], fault diagnosis [4] and so on. However, the data received from different data resources may be imprecise and incomplete, thus the fuse result is often ineffective, even difficult to integrate or fuse.…”

Section: Introductionmentioning

confidence: 99%

A new classification method using the generalized basic probability assignment

Tang,

Wu,

Huang

et al. 2023

2023 European Control Conference (ECC)

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Decision fusion method for fault diagnosis based on closeness and Dempster-Shafer theory

Cited by 10 publications

References 20 publications

Intelligent fault diagnosis methods for hydraulic components based on information fusion: review and prospects

Intelligent fault diagnosis methods for hydraulic components based on information fusion: review and prospects

Technical Status Evaluation of River Training Works Based on the Improved DS Evidence Theory

A new classification method using the generalized basic probability assignment

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