DENOISING MICRO-ELECTROMECHANICAL SYSTEMS (MEMS) DATA USING ADAPTIVE WAVELET THRESHOLD FOR PREDICTIVE RAILWAY MAINTENANCE

DENOISING MICRO-ELECTROMECHANICAL SYSTEMS (MEMS) DATA USING ADAPTIVE WAVELET THRESHOLD FOR PREDICTIVE RAILWAY MAINTENANCE

As the most prevalent cause of train accidents, derailment becomes more dangerous with increasing train passengers in Indonesia. Manually prevention and maintenance used to do in recent times cannot bring any reduction in total cases. Predictive maintenance (PdM), a data-driven technique based on...

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書目詳細資料
主要作者:	Azka Huda Prastiwi, Nadia
格式:	Theses
語言:	Indonesia
在線閱讀:	https://digilib.itb.ac.id/gdl/view/61126
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!

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