Pantograph–catenary monitoring by means of fibre Bragg grating sensors: Results from tests in an underground line

Bocciolone, M.; Bucca, Giuseppe; Collina, Andrea; Comolli, Lorenzo

doi:10.1016/j.ymssp.2013.06.030

Cited by 45 publications

(25 citation statements)

References 15 publications

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“…As presented in (10), the wavelet packet energy E i, j (t n ) computed in the window length L w decides on which data scale, the Tsallis wavelet entropy in (8), is based. The idea is to employ different window lengths concerning the scales of defects given in Table II.…”

Section: A Entropy Computation With Varying Windowsmentioning

confidence: 99%

“…Previous studies developed approaches that vary with the employed measurements to assess the catenary condition based on periodical inspections. The pantograph-catenary contact force (PCCF) is the preferred parameter to measure theoretically [7], [8], since the interaction between catenary and pantograph can be directly reflected by the contact force. However, the general requirement for the PCCF measurement [9], in terms of sensor placement, accuracy, validation, and so on, is high and expensive to implement.…”

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confidence: 99%

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Entropy-Based Local Irregularity Detection for High-Speed Railway Catenaries With Frequent Inspections

Wang

Liu

Núñez

et al. 2019

IEEE Trans. Instrum. Meas.

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The condition-based maintenance of high-speed railway catenary is an important task to ensure the continuous availability of train power supply. To improve the condition monitoring of catenary, this paper presents a novel scheme to detect catenary local irregularities using pantograph head acceleration measurements. First, a series of experimental inspections is carried out in a section of the Beijing-Guangzhou high-speed line in China. The time intervals between the inspections are shortened from the traditional six months to about 40 days, which enables monitoring the short-term degradation of local irregularities. Then, based on the wavelet packet entropy, an approach is proposed to detect local irregularities with different scales in length. Criteria for identifying and verifying the local irregularities are established based on the gradient and repeatability of entropy from multiple measurements. Results from the experimental inspections show that different scales of local irregularities can be detected by the proposed scheme. By using frequent inspections, local irregularities can be effectively verified after about seven inspections. The spatial distribution of local irregularities is found to be closely related to the catenary structure. These findings provide valuable information to deploy the scheme for a railway network.

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Section: A Entropy Computation With Varying Windowsmentioning

confidence: 99%

mentioning

confidence: 99%

Entropy-Based Local Irregularity Detection for High-Speed Railway Catenaries With Frequent Inspections

Wang

Liu

Núñez

et al. 2019

IEEE Trans. Instrum. Meas.

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show abstract

“…e same efforts to improve pantograph-catenary system monitoring have also been made in underground lines [20,21].…”

Section: Introductionmentioning

confidence: 99%

Investigation on Monitoring System for Pantograph and Catenary Based on Condition‐Based Recognition of Pantograph

Zhou

Yang

Liu

et al. 2019

Shock and Vibration

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In recent years, the length of electrified railway systems has increased along with the number of railway vehicles in China. For the pantograph-catenary system, as one of the key components of the vehicle system, an urgent problem includes diagnosing faults and proposing a safety monitoring system to assure safe operation, improve the level of detection, and decrease the cost of maintenance and repairs. For the monitoring system based on the pantograph, the design process, whole architecture, function module, fault diagnosis method, and monitoring scheme have been investigated. Two specified faults were introduced to describe how to develop such a monitoring scheme based on the pantograph condition-based recognition.

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“…Therefore, more precise measurement devices and measurement strategies are required to reduce the uncertainties of temperature and meet the demands of high-precision manufacturing technology in heavy-duty machine tools [1]. Fiber Bragg grating (FBG) sensors are considered to be of great potential for real-time temperature field measurement in heavy-duty machine tools due to their attractive characteristics such as light weight, small size, electromagnetic interference (EMI) immunity, long-distance transmission, and electric isolation [17][18][19][20][21]. In addition, FBG sensing technology reveals an inherent serial multiplexing capacity and an ability to provide absolute measurements without the need for referencing, which makes this technology available in numerous sensing applications in industry and manufacture [22][23][24].…”

Section: Introductionmentioning

confidence: 99%

Real-time measurement of temperature field in heavy-duty machine tools using fiber Bragg grating sensors and analysis of thermal shift errors

et al. 2015

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Pantograph–catenary monitoring by means of fibre Bragg grating sensors: Results from tests in an underground line

Cited by 45 publications

References 15 publications

Entropy-Based Local Irregularity Detection for High-Speed Railway Catenaries With Frequent Inspections

Entropy-Based Local Irregularity Detection for High-Speed Railway Catenaries With Frequent Inspections

Investigation on Monitoring System for Pantograph and Catenary Based on Condition‐Based Recognition of Pantograph

Real-time measurement of temperature field in heavy-duty machine tools using fiber Bragg grating sensors and analysis of thermal shift errors

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