@article{sun_online_2021,
	title = {Online oil debris monitoring of rotating machinery: {A} detailed review of more than three decades},
	volume = {149},
	issn = {0888-3270},
	shorttitle = {Online oil debris monitoring of rotating machinery},
	url = {http://www.sciencedirect.com/science/article/pii/S0888327020307275},
	doi = {10.1016/j.ymssp.2020.107341},
	abstract = {Oil debris monitoring has played an irreplaceable role in ascertaining the health condition of rotating machinery (e.g. engine, gearbox). Although many sensing methods for detecting wear-generated particles of rotating elements have been presented, a comprehensive review paper on these technologies is still missing. To this end, this paper provides a detailed survey of the advances in oil debris monitoring for the online health monitoring of rotating machinery. According to the detection mechanism, these sensing technologies are classified under varying categories (magnetic: magnetic chip detectors and inductive sensors, electrical: resistive-capacitive sensors and electrostatic sensors, optical: photoelectric sensors and imaging sensors, acoustic). The systematic analysis and commentary on each sensing method are conducted, and real applications also be reviewed. These sensing technologies are not confined to research-related activities, of which some have already been patented and commercialized. Finally, future works are presented to meet the challenges faced by online monitoring of rotating machinery.},
	language = {en},
	urldate = {2020-10-19},
	journal = {Mechanical Systems and Signal Processing},
	author = {Sun, Jiayi and Wang, Liming and Li, Jianfeng and Li, Fangyi and Li, Jianyong and Lu, Haiyang},
	month = feb,
	year = {2021},
	keywords = {Lubricating oil, Oil debris monitoring, Online health monitoring, Rotating machinery, Wear debris sensor},
	pages = {107341},
}

{"_id":"jTLtjymgXBosvYS3A","bibbaseid":"sun-wang-li-li-li-lu-onlineoildebrismonitoringofrotatingmachineryadetailedreviewofmorethanthreedecades-2021","author_short":["Sun, J.","Wang, L.","Li, J.","Li, F.","Li, J.","Lu, H."],"bibdata":{"bibtype":"article","type":"article","title":"Online oil debris monitoring of rotating machinery: A detailed review of more than three decades","volume":"149","issn":"0888-3270","shorttitle":"Online oil debris monitoring of rotating machinery","url":"http://www.sciencedirect.com/science/article/pii/S0888327020307275","doi":"10.1016/j.ymssp.2020.107341","abstract":"Oil debris monitoring has played an irreplaceable role in ascertaining the health condition of rotating machinery (e.g. engine, gearbox). Although many sensing methods for detecting wear-generated particles of rotating elements have been presented, a comprehensive review paper on these technologies is still missing. To this end, this paper provides a detailed survey of the advances in oil debris monitoring for the online health monitoring of rotating machinery. According to the detection mechanism, these sensing technologies are classified under varying categories (magnetic: magnetic chip detectors and inductive sensors, electrical: resistive-capacitive sensors and electrostatic sensors, optical: photoelectric sensors and imaging sensors, acoustic). The systematic analysis and commentary on each sensing method are conducted, and real applications also be reviewed. These sensing technologies are not confined to research-related activities, of which some have already been patented and commercialized. Finally, future works are presented to meet the challenges faced by online monitoring of rotating machinery.","language":"en","urldate":"2020-10-19","journal":"Mechanical Systems and Signal Processing","author":[{"propositions":[],"lastnames":["Sun"],"firstnames":["Jiayi"],"suffixes":[]},{"propositions":[],"lastnames":["Wang"],"firstnames":["Liming"],"suffixes":[]},{"propositions":[],"lastnames":["Li"],"firstnames":["Jianfeng"],"suffixes":[]},{"propositions":[],"lastnames":["Li"],"firstnames":["Fangyi"],"suffixes":[]},{"propositions":[],"lastnames":["Li"],"firstnames":["Jianyong"],"suffixes":[]},{"propositions":[],"lastnames":["Lu"],"firstnames":["Haiyang"],"suffixes":[]}],"month":"February","year":"2021","keywords":"Lubricating oil, Oil debris monitoring, Online health monitoring, Rotating machinery, Wear debris sensor","pages":"107341","bibtex":"@article{sun_online_2021,\n\ttitle = {Online oil debris monitoring of rotating machinery: {A} detailed review of more than three decades},\n\tvolume = {149},\n\tissn = {0888-3270},\n\tshorttitle = {Online oil debris monitoring of rotating machinery},\n\turl = {http://www.sciencedirect.com/science/article/pii/S0888327020307275},\n\tdoi = {10.1016/j.ymssp.2020.107341},\n\tabstract = {Oil debris monitoring has played an irreplaceable role in ascertaining the health condition of rotating machinery (e.g. engine, gearbox). Although many sensing methods for detecting wear-generated particles of rotating elements have been presented, a comprehensive review paper on these technologies is still missing. To this end, this paper provides a detailed survey of the advances in oil debris monitoring for the online health monitoring of rotating machinery. According to the detection mechanism, these sensing technologies are classified under varying categories (magnetic: magnetic chip detectors and inductive sensors, electrical: resistive-capacitive sensors and electrostatic sensors, optical: photoelectric sensors and imaging sensors, acoustic). The systematic analysis and commentary on each sensing method are conducted, and real applications also be reviewed. These sensing technologies are not confined to research-related activities, of which some have already been patented and commercialized. Finally, future works are presented to meet the challenges faced by online monitoring of rotating machinery.},\n\tlanguage = {en},\n\turldate = {2020-10-19},\n\tjournal = {Mechanical Systems and Signal Processing},\n\tauthor = {Sun, Jiayi and Wang, Liming and Li, Jianfeng and Li, Fangyi and Li, Jianyong and Lu, Haiyang},\n\tmonth = feb,\n\tyear = {2021},\n\tkeywords = {Lubricating oil, Oil debris monitoring, Online health monitoring, Rotating machinery, Wear debris sensor},\n\tpages = {107341},\n}\n\n\n\n","author_short":["Sun, J.","Wang, L.","Li, J.","Li, F.","Li, J.","Lu, H."],"key":"sun_online_2021","id":"sun_online_2021","bibbaseid":"sun-wang-li-li-li-lu-onlineoildebrismonitoringofrotatingmachineryadetailedreviewofmorethanthreedecades-2021","role":"author","urls":{"Paper":"http://www.sciencedirect.com/science/article/pii/S0888327020307275"},"keyword":["Lubricating oil","Oil debris monitoring","Online health monitoring","Rotating machinery","Wear debris sensor"],"metadata":{"authorlinks":{}},"html":""},"bibtype":"article","biburl":"https://bibbase.org/zotero/mh_lenguyen","dataSources":["SZvSgtLYdBsPSQ3NM","iwKepCrWBps7ojhDx"],"keywords":["lubricating oil","oil debris monitoring","online health monitoring","rotating machinery","wear debris sensor"],"search_terms":["online","oil","debris","monitoring","rotating","machinery","detailed","review","more","three","decades","sun","wang","li","li","li","lu"],"title":"Online oil debris monitoring of rotating machinery: A detailed review of more than three decades","year":2021}