Railroad Track Condition Monitoring Using Inertial Sensors and Digital Signal Processing: A Review

被引：24

作者：

Chia, Leonard ^{[1
]}

Bhardwaj, Bhavana ^{[1
]}

Lu, Pan ^{[1
]}

Bridgelall, Raj ^{[1
]}

机构：

[1] North Dakota State Univ, Dept Transportat & Logist, Fargo, ND 58108 USA

来源：

IEEE SENSORS JOURNAL | 2019年 / 19卷 / 01期

关键词：

Digital signal filtering; sample rate; sensors; track geometry monitoring; AXLE BOX; IRREGULARITY; SYSTEM;

D O I：

10.1109/JSEN.2018.2875600

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Inertial sensors such as accelerometers and gyroscopes have been widely used since the early 1990s to monitor the condition of transportation assets. Recent improvements in their performance, a reduction in cost, and sensor miniaturization has resulted in a growing interest in expanding their use. This research is an extensive and systematic review of their application considerations, challenges, and opportunities for improvements in railroad track condition monitoring. Research questions were developed to guide the selection of relevant articles from data-bases. The authors report key findings in the areas of sensor specification, sensor location, and sensor signal processing.

引用

页码：25 / 33

页数：9

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