Real-Time Fault Diagnosis of Train Bogie Using FBG Sensors

Wei, Chuliang; Cai, Zemin; Tam, Hwa Yaw; Ho, S. L.; Xin, Qin

doi:10.1109/isdea.2012.433

Cited by 5 publications

(5 citation statements)

References 3 publications

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“…Recently, a fiber Bragg grating (FBG) sensor, a type of optical fiber sensor, has been studied broadly as a replacement for the strain gauge. Similar to the strain gauge, it can only be used in predetermined positions [7][8][9], but it also has a limited capacity to monitor the distributed strain of a structure. A method for monitoring structural deformation in composite bogie frames was developed for the first time using an optical fiber sensor system with a high spatial resolution based on Brillouin optical correlation domain analysis (BOCDA).…”

Section: A Distributed Optical Fiber Sensor System Based On Bocdamentioning

confidence: 99%

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Distributed Strain Monitoring of Railway Composite Bogies Using a Brillouin Optical Correlation Domain Analysis System

et al. 2018

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The structural deformation of a bogie frame manufactured using a composite material was monitored in real time using a distributed optical fiber sensor. The bogie frame contained an internally embedded standard single-mode optical fiber. Performance tests were conducted by applying a vertical load to the middle of the side beams on each side of the composite bogie frame. The strain distribution was monitored using an optical fiber sensor. A distributed optical fiber sensor system based on the Brillouin optical correlation domain analysis (BOCDA) technique with a 3 cm spatial resolution was used. The distributed strain measured using the optical fiber correlated well with the finite element (FE) analysis data, confirming that the composite bogie frame was fabricated as designed. For a vertical load of 182 kN, the maximum strain, which occurred in the middle of the side frame, increased by 1.3 times, as compared with a vertical load of 140 kN. The experiment was able to verify the balance and the structural stability of the left- and right-hand-side beams. Furthermore, it could confirm that there was a concentrated load where the side beam and the crossbeam meet, owing to a mismatch during the assembly of the composite bogie frame.

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Section: A Distributed Optical Fiber Sensor System Based On Bocdamentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Distributed Strain Monitoring of Railway Composite Bogies Using a Brillouin Optical Correlation Domain Analysis System

et al. 2018

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“…Acoustic emission technology has been used to study damage detection of the welded parts of bogie by means of time‐reversal positioning method [8]. A fibre Bragg grating sensor network was installed on the bogie frame in order to informed driver of the operational status [9]. Current‐excited infrared thermal imaging systems have been applied to detect bogie frame defects [10].…”

Section: Introductionmentioning

confidence: 99%

“…The continuous expansion of fatigue cracks will lead to bogie failure, which brings great safety hazards to the train. Extensive research on the structural safety of various components on bogies was pursued [1][2][3][4][5][6][7][8][9][10]. In Fig.…”

Section: Introductionmentioning

confidence: 99%

Crack damage identification and localisation on metro train bogie frame in IoT using guided waves

Zhang

Hao

Cai

et al. 2020

IET Intelligent Trans Sys

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The Internet of Things (IoT) is one of the key components of metro train safety as an emerging development approach due to its great potential to advance environmental sustainability. A bogie is a key component for carrying a passenger's vehicle body. Its damage and defects can destroy fluent operations and better service for train operation. The critical problem of traditional non‐destructive examination for bogie is the high cost of labour and environment. Because they are in effect only after the whole vehicle has to be split into many sub‐components and paint removed. This study provides an IoT approach and practice for bogie crack identification of bogie. The presented method can achieve simple and efficient detection of damage with cheap PZT sensor network. Its advantages is that non‐split work and non‐removal paint pollution. Compared with traditional detection methods, this method is more sensitive to a small area of internal damage and can identify the level of damage and location of the bogie plate frame even with the dirty and non‐smooth surface.

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“…The main cause of bearing failure is vibration and temperature. The common methods used for bearing condition monitoring are vibration and temperature signal collection and detection [2]. Systems using traditional electric sensors have many deficiencies, such as low accuracy, big loss and poor ability of anti-interference etc.…”

Section: Introductionmentioning

confidence: 99%

The Design of Shafting Condition Monitoring System for Rotating Machinery Based on Fiber Bragg Grating Sensor

Fan

Liu

et al. 2014

AMR

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FBG (Fiber Bragg Grating) is especially suitable for the shafting operation condition monitoring of rotating machinery under the harsh working environment for a long time with its advantages of anti-electromagnetic interference, easy reuse, good stability, environmental adaptability and so on. The overall architecture of the shafting operation condition monitoring system based on FBG sensing network is proposed. In the system, FBG multi-channel distributed sensing network is used to fully apperceive the real-time operation condition information of the equipment. While the Windows Presentation Foundation (WPF) and 3-Dimensional Studio Max (3DMAX) technologies are used to realize the intuitive 3-Dimensional (3D) virtual display to monitor the equipment. Besides, the sensing information data stream is processed in real time to display the running state of the equipment. Also, mass sensing information is analyzed and stored by the real-time processing method. The stability and reliability of the proposed framework and key technology is verified by the system long-time implementation results.

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Real-Time Fault Diagnosis of Train Bogie Using FBG Sensors

Cited by 5 publications

References 3 publications

Distributed Strain Monitoring of Railway Composite Bogies Using a Brillouin Optical Correlation Domain Analysis System

Distributed Strain Monitoring of Railway Composite Bogies Using a Brillouin Optical Correlation Domain Analysis System

Crack damage identification and localisation on metro train bogie frame in IoT using guided waves

The Design of Shafting Condition Monitoring System for Rotating Machinery Based on Fiber Bragg Grating Sensor

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