A New Approach Based on Predictive Maintenance Using the Fuzzy Classifier in Pantograph-Catenary Systems

Karaduman, Gulsah; Akın, Erhan

doi:10.1109/tits.2020.3042997

Cited by 9 publications

(5 citation statements)

References 27 publications

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“…Periodic or post-fault maintenance of these systems is also expensive. Hence, by obtaining data from the railway, predictive maintenance not only reduces the cost of sustenance but also reduces the probability of casualty substantially [116]. Further applications of predictive maintenance can also be found in manufacturing plants.…”

Section: ) Predictive Maintenancementioning

confidence: 99%

A Survey of Cyber-Physical Systems From a Game-Theoretic Perspective

et al. 2023

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With the emergence of the Internet-of-Things (IoT), artificial intelligence, and communication technologies, cyber-physical systems (CPS) have revolutionized the engineering paradigm with profound applications in many aspects of society including homes, energy, agriculture, health-care, transportation, business, and manufacturing. A CPS uses suitable computational techniques such as game theory to enable different entities to interact with one another for taking necessary actions to obtain selected objectives. Recent literature on CPS has extensively used game theory to approach a variety of technical challenges. In order to make these contributions more accessible to a broader audience, there is a need for studies that can provide readers with a comprehensive understanding of different types of CPS and their attributes, then clearly outline why game theory is relevant for modeling different aspects of CPS, and also discuss how game theory has been used in relevant literature to date. This paper bridges this gap by 1) providing a general discussion of different types of CPS and their characteristics; 2) giving an overview of different types of game-theoretic approaches; 3) explaining why game theory is appropriate for modeling different types of CPS; and 4) finally, studying how game theory has been used in different CPS types to address their challenges. Further, we also identify some key research challenges for future investigation where game theory could be applied as a potential solution.

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Section: ) Predictive Maintenancementioning

confidence: 99%

A Survey of Cyber-Physical Systems From a Game-Theoretic Perspective

et al. 2023

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“…Therefore, there is no need to specify Φ (•) because the nonlinear projection can be achieved implicitly by introducing the kernel trick. KPCA proceeds by constructing the kernel matrix K from x k using equation ( 9) and centering K to K using equation (12). Due to equation ( 11), K can be diagonalized as below:…”

Section: Kpca and Mkpcamentioning

confidence: 99%

“…Thus, it can hardly monitor the WDD based on the traditional signal analysis methods without any prior knowledge. At present, some methods based on data-driven have been proposed to monitor the condition of railway vehicles [10][11][12]. But, the research on the WDD condition monitoring is rare.…”

Section: Introductionmentioning

confidence: 99%

Fault detection and quantitative assessment of wheel diameter difference based on ensemble adaptive tunable Q-factor wavelet transform and mixed kernel principal component analysis

Sui,

Wang,

Chen

2023

Meas. Sci. Technol.

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Tread wear is inevitable for railway vehicles. Because of the complicated railway condition, the wear rates of the two wheels of a wheelset are usually unequal, which leads to the wheel diameter difference (WDD). The WDD shortens the service life of the wheelset and deteriorates the dynamic performance of railway vehicles. Therefore, it has long been desired to monitor and quantify the WDD condition. However, influenced by the random irregularity, the effective vibration features induced by the WDD may be completely submerged in noise. In this paper, an adaptive TQWT decomposition method is proposed for denoise and feature enhancement. In this method, a new evaluation index is constructed and used to determine parameters. The influence of the WDD on the vibration of the wheelset can be more obvious after denoised by the adaptive TQWT decomposition. Mixed kernel principal component analysis is introduced into the condition monitoring and quantitative assessment of the WDD. By calculating the Hoteling’s T 2 and SPE statistics, control charts are employed to identify and assess the WDD conditions quantitatively in conjunction with the corresponding control limits. The effectiveness of the proposed method is validated by the simulation and experimental study. For the experimental datasets, the proposed method gives the average fault detection rate (FDR), false alarm rate (FAR), false alarm rate (PA) of 92.74%, 2.23%, 97.47% for the T 2 statistic and the average FDR, FAR, PA of 96.57%, 2.60%, 97.29% for the SPE statistic. The results show that the proposed method can effectively monitor the WDD conditions.

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“…e contact between the pantograph sliding plate and the catenary conductor is becoming more and more unstable, and the occurrence frequency of the arcing phenomenon increases immediately [16,17]. ere are many reasons for arcing phenomenon, such as too small pantograph catenary contact pressure, too large amplitude of vertical vibration of pantograph sliding plate, and poor smoothness and hard points of catenary line.…”

Section: Literature Reviewmentioning

confidence: 99%

Pantograph Catenary Performance Detection of Energy High-Speed Train Based on Machine Vision

Wang¹,

Li²,

Tan³

et al. 2022

Mathematical Problems in Engineering

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With the rapid development of high-speed rail in China, addressing the issue of safety assurance during the operation of the train is very important. A very important part of a train’s power supply system is the pantograph and catenary system, which consists of a pantograph and a catenary. Failure of the pantograph-catenary system can cause significant damage to the normal operation of the train. The dynamic performance of the pantograph-catheter system must be detected in real time during the operation of the train. This paper is based on the study and analysis of pantograph-catheter dynamic performance parameters and developed a system for real-time detection of pantograph-catheter dynamic performance parameters based on a car visual system. The results are as follows: based on this detection method, the visual error is low and the accuracy is high. The machine-based directional height detection module developed in this paper has a good detection effect and high test accuracy; the arcing detection module designed in this paper can effectively detect the arcing and store the arcing pictures and can display the duration of single arcing and the arcing rate of the section in real-time. The practical application effect is good. The results show that the focal length of the camera lens is 16 mm, and the error of the machine vision system is low. The system designed in this paper may make a great contribution to the operation condition monitoring and fault diagnosis of the pantograph-catenary system of a high-speed train in the future.

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A New Approach Based on Predictive Maintenance Using the Fuzzy Classifier in Pantograph-Catenary Systems

Cited by 9 publications

References 27 publications

A Survey of Cyber-Physical Systems From a Game-Theoretic Perspective

A Survey of Cyber-Physical Systems From a Game-Theoretic Perspective

Fault detection and quantitative assessment of wheel diameter difference based on ensemble adaptive tunable Q-factor wavelet transform and mixed kernel principal component analysis

Pantograph Catenary Performance Detection of Energy High-Speed Train Based on Machine Vision

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