Induction machine fault detection using smartphone recorded audible noise

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23220%2F18%3A43951169" target="_blank" >RIV/49777513:23220/18:43951169 - isvavai.cz</a>
Result on the web
<a href="http://digital-library.theiet.org/content/journals/10.1049/iet-smt.2017.0104?originator=ietauthorOffprint&identity=412184&timestamp=20190221141025&signature=d8043cbc701f6251d181c0efbfc2773e&tinyUrl=http://ietdl.org/t/sPtbv" target="_blank" >http://digital-library.theiet.org/content/journals/10.1049/iet-smt.2017.0104?originator=ietauthorOffprint&identity=412184&timestamp=20190221141025&signature=d8043cbc701f6251d181c0efbfc2773e&tinyUrl=http://ietdl.org/t/sPtbv</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1049/iet-smt.2017.0104" target="_blank" >10.1049/iet-smt.2017.0104</a>

Result language
angličtina
Original language name
Induction machine fault detection using smartphone recorded audible noise
Original language description
This study presents induction machine fault detection possibilities using smartphone recorded audible noise. Acoustic and audible noise analysis for fault detection is a well-established technique; however, specialised equipment for diagnostic purposes is often very expensive and difficult to operate. To overcome this obstacle, a simple pre-diagnostic procedure, using hand-held smartphones is proposed. Different faults of the three-phase squirrel cage induction machine such as various numbers of broken rotor bars and dynamic rotor eccentricity are inflicted to the machine and the resulting audible signals are recorded in laboratory circumstances using two widely available commercial smartphones. The analysis is performed on audible noise and compared with the results of mechanical vibrations measurements, recorded by vibration sensors. Rotational speed frequency and twice-line frequency are used as diagnostic indicators of faults. A simple neural network is composed and probabilities of fault detection using such diagnostic measures are presented. The necessity for further study as well as further implementation and method refinement necessity is pointed out.
Czech name
—
Czech description
—

Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
—
OECD FORD branch
20201 - Electrical and electronic engineering

Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Similar results(10)