倒谱
信号(编程语言)
振动
断层(地质)
噪音(视频)
工程类
挫折
故障检测与隔离
声学
计算机科学
语音识别
人工智能
物理
电气工程
地质学
地震学
土木工程
执行机构
程序设计语言
图像(数学)
作者
Sankar Kumar Roy,A.R. Mohanty,Cheruvu Siva Kumar
出处
期刊:Lecture notes in mechanical engineering
日期:2020-01-01
卷期号:: 1117-1125
标识
DOI:10.1007/978-981-15-0124-1_99
摘要
Vibration-based gearbox fault diagnosis is widely used by the researchers. The main setback of vibration-based signal is that it contains structure borne noise, which degrades the gear related information. Therefore, instantaneous angular speed (IAS) signal has been utilized to identify gearbox fault as it contains less structure borne noise. When defect exists, the IAS signal exhibits modulation characteristics. Therefore, cepstrum analysis has been used on IAS signal to separate out the modulating signals. Thus, fault in multistage helical gearbox has been detected.
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