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Towards devising a vibration based machinery health monitoring system

  • Published:2021-09 Issue: Volume: Page:
  • ISSN:2214-7853
  • Container-title:Materials Today: Proceedings
  • language:en
  • Short-container-title:Materials Today: Proceedings

Author:

Bhuiyan Md. Harunur Rashid,Arafat Iftekhar Morshed,Rahaman MasfiqurORCID,Toha Tarik Reza,Alam Shaikh Md. Mominul

Publisher

Elsevier BV

Subject

General Medicine

Reference26 articles.

1. A novel deep autoencoder feature learning method for rotating machinery fault diagnosis;Shao;Mech. Syst. Sig. Process.,2017

2. S.S. Kumar, M.S. Kumar, Condition monitoring of rotating machinery through vibration analysis, 2014.

3. Application of an intelligent classification method to mechanical fault diagnosis;Lei;Expert Syst. Appl.,2009

4. Vibration analysis of vertical pumps;Ahilan;Indian J. Sci. Res.,2018

5. Data-driven analysis of downtime impacts in parallel production systems;Li;IEEE Trans. Autom. Sci. Eng.,2015

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Review of Data Processing Methods Used in Predictive Maintenance for Next Generation Heavy Machinery;Data;2024-05-15

2. Let’s Vibrate with Vibration: Augmenting Structural Engineering with Low-Cost Vibration Sensing;Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering;2024

3. Health assessment of water pumps using high-dimensional monitoring data;Water Supply;2023-09-23

4. Devising a Vibration-Based Fault Detection System for Textile Machinery;Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering;2023
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