“…The bogie crack probably occurs between fixed test cycles. Magnetic powder and eddy current testing are difficult to effectively detect cracks during the early stages of frame use and cannot detect pits and impurities in structure [5]. Using phased array ultrasonic inspection technology, array probes can theoretically detect damage in the entire weld area of bogie frame [6].…”
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.…”
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.
“…The bogie crack probably occurs between fixed test cycles. Magnetic powder and eddy current testing are difficult to effectively detect cracks during the early stages of frame use and cannot detect pits and impurities in structure [5]. Using phased array ultrasonic inspection technology, array probes can theoretically detect damage in the entire weld area of bogie frame [6].…”
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.…”
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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