@article{muller_online_2021,
	series = {16th {IFAC} {Symposium} on {Advanced} {Control} of {Chemical} {Processes} {ADCHEM} 2021},
	title = {Online wear detection for joints in progressing cavity pumps},
	volume = {54},
	issn = {2405-8963},
	url = {https://www.sciencedirect.com/science/article/pii/S2405896321010119},
	doi = {10.1016/j.ifacol.2021.08.240},
	abstract = {The wear and failure of pin joints integrated in coupling rods of process equipment can lead to unpredictable breakdown with severe consequences. We present a simple algorithm for a non-invasive online detection of wear in pin joints where a progressing cavity pump serves as an example. The algorithm only requires a pressure sensor and a binary speed signal of the motor. We verify the algorithm with a laboratory test setup and an embedded system. The results show that the proposed algorithm can reliably monitor joint wear during regular pump operation.},
	language = {en},
	number = {3},
	urldate = {2021-09-13},
	journal = {IFAC-PapersOnLine},
	author = {Müller, J. and Leonow, S. and Schulz, J. and Hansen, C. and Mönnigmann, M.},
	month = jan,
	year = {2021},
	keywords = {fault detection, joint wear, phase-locked loop, positive displacement pumps, predictive maintenance, progressing cavity pump},
	pages = {188--193},
}

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