Condition-based Monitoring of Machines Using IIOT
Abstract
Keywords
Full Text:
PDFReferences
Pandian SR, Takemura F, Hayakawa Y, Kawamura S. Pressure observer- controller design for pneumatic cylinder actuators. IEEE/ASME Transactions on mechatronics. 2002 Dec;7(4):490–9.
Zhu J, Yoon JM, He D, Qu Y, Bechhoefer E. Lubrication oil condition monitoring and remaining useful life prediction with particle filtering. International Journal of Prognostics and Health Management. 2013;4:124–38.
Agoston A, Otsch C, Zhuravleva J, Jakoby B. An IR-absorption sensor system for the determination of engine oil deterioration [automotive applications]. IEEE; 2004 Oct 24.
Wan J, Tang S, Shu Z, Li D, Wang S, Imran M, Vasilakos AV. Software- defined industrial internet of things in the context of industry 4.0. IEEE
Sensors Journal. 2016 May 10;16(20):7373–80.
Jardine AK, Lin D, Banjevic D. A review on machinery diagnostics and prognostics implementing condition- based maintenance. Mechanical systems and signal processing. 2006 Oct 1;20(7):1483–510.
Han Y, Song YH. Condition monitoring techniques for electrical equipment-a literature survey. IEEE Transactions on Power delivery. 2003 Jan 14;18(1):4–13.
Peng Y, Dong M, Zuo MJ. Current status of machine prognostics in condition-based maintenance: a review. The International Journal of Advanced Manufacturing Technology. 2010 Sep 1;50(1– 4):297–313.
Agrawal KK, Pandey GN, Chandrasekaran K. Analysis of the condition-based monitoring system for heavy industrial machineries. In2013 IEEE International Conference on Computational Intelligence and Computing Research 2013 Dec 26 (pp. 1–4). IEEE.
Refbacks
- There are currently no refbacks.