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Quantitative Index and Abnormal Alarm Strategy Using Sensor-Dependent Vibration Data for Blade Crack Identification

Jinglong Chen1, Hailiang Sun2, Shuai Wang3

  • 1State Key Laboratory for Manufacturing and Systems Engineering, Xi'an Jiaotong University, Xi'an 710049, China. jlstrive2008@mail.xjtu.edu.cn.

Sensors (Basel, Switzerland)
|May 13, 2016
PubMed

Keywords:
blade crackcentrifugal booster fanfault diagnosisquantitative identificationvibration signal analysis

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