Scott Saunders

Dr. Scott Saunders


Research Focus & Metrics

Academic Career Length

3Years (2024-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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28 June 2024 in Sensors
Verified
Journal Article
Open access
PDF file
YSYuchun Shao
Yuchun Shao
ZXZihan Xia
Zihan Xia
YDYiqing Ding
Yiqing Ding
BCBob Crocker
Bob Crocker
SSScott Saunders
Scott Saunders
Wuliang YinWuliang Yin
Wuliang Yin
A reliable and efficient rail track defect detection system is essential for maintaining rail track integrity and avoiding safety hazards and financial losses. Eddy current (EC) testing is a non-destructive technique that can be employed for this purpose. The trade-off between spatial resolution and lift-off should be carefully considered in practical applications to distinguish closely spaced cracks such as those caused by rolling contact fatigue (RCF). A multi-channel eddy current sensor array has been developed to detect defects on rails. Based on the sensor scanning data, defect reconstruction along the rails is achieved using an inverse algorithm that includes both direct and iterative approaches. In experimental evaluations, the EC system with the developed sensor is used to measure defects on a standard test piece of rail with a probe lift-off of 4–6 mm. The reconstruction results clearly reveal cracks at various depths and spacings on the test piece.

2 April 2024 in Preprints.org
Verified
Preprint
Open access
PDF file
YSYuchun Shao
Yuchun Shao
ZXZihan Xia
Zihan Xia
YDYiqing Ding
Yiqing Ding
BCBob Crocker
Bob Crocker
SSScott Saunders
Scott Saunders
Wuliang YinWuliang Yin
Wuliang Yin
A reliable and efficient rail track defect detection system is essential for maintaining rail track integrity and avoiding safety hazards and financial losses. Eddy current (EC) testing is a non-destructive technique that can be employed for this purpose. The trade-off between spatial resolution and lift-off should be carefully considered in practical applications to distinguish closely spaced cracks such as those caused by rolling contact fatigue (RCF). A multi-channel eddy current sensor array has been developed to detect defects on rails. Based on the sensor scanning data, defect reconstruction along the rails is achieved using an inverse algorithm that includes both direct and iterative approaches. In experimental evaluations, the EC system with the developed sensor is used to measure defects on a standard test piece of rail with a probe lift-off of 4-6 mm. The reconstruction results clearly reveal cracks at various depths and spacings on the test piece.