Matches in SemOpenAlex for { <https://semopenalex.org/work/W2809982742> ?p ?o ?g. }
Showing items 1 to 71 of
71
with 100 items per page.
- W2809982742 endingPage "012109" @default.
- W2809982742 startingPage "012109" @default.
- W2809982742 abstract "A rotating mechanical components in machineries like bearings, gears, pulleys, belt drives etc. are major components in any rotating machinery. The failure of these components leads to downtime of machines and reduction in production. Significant economic losses will be caused due to an unexpected failure of these components. Belt drives are widely employed in various industrial equipment. Finding the early fault symptoms in the belt drive is very important. This can be achieved by various methods. For detecting faults and monitoring the condition of a belt drive, the vibration signal can be used as one of the parameter. Thus, vibration signal can be used as a procedure for predictive maintenance and it is used for machinery maintenance decisions. The changes in vibration signals due to fault can be detected by employing signal processing methods. It can be used to evaluate the health status of the machinery. The nature and severity of the problem can be determined by analysing the vibration signal and hence the failure can be predicted. Signature of the fault in the machine is carried by the vibration signal. It is possible to have early fault detection by analysing these vibration signals. Different signal processing techniques are used for processing these signals. The various techniques used for fault diagnosis based on vibration analysis method are discussed in this paper. The application of the artificial intelligence techniques such as Artificial Neural Network (ANN), fuzzy sets and other emerging technologies are discussed." @default.
- W2809982742 created "2018-07-10" @default.
- W2809982742 creator A5003468375 @default.
- W2809982742 creator A5017958455 @default.
- W2809982742 creator A5043174777 @default.
- W2809982742 creator A5070091611 @default.
- W2809982742 date "2018-06-01" @default.
- W2809982742 modified "2023-09-26" @default.
- W2809982742 title "Vibration based Fault Diagnosis Techniques for Rotating Mechanical Components: Review Paper" @default.
- W2809982742 cites W1967153487 @default.
- W2809982742 cites W1981003931 @default.
- W2809982742 cites W2001903231 @default.
- W2809982742 cites W2003202593 @default.
- W2809982742 cites W2011296483 @default.
- W2809982742 cites W2021497603 @default.
- W2809982742 cites W2048893091 @default.
- W2809982742 cites W2063483719 @default.
- W2809982742 cites W2066980082 @default.
- W2809982742 cites W2134296543 @default.
- W2809982742 cites W2164996743 @default.
- W2809982742 cites W2172070753 @default.
- W2809982742 doi "https://doi.org/10.1088/1757-899x/376/1/012109" @default.
- W2809982742 hasPublicationYear "2018" @default.
- W2809982742 type Work @default.
- W2809982742 sameAs 2809982742 @default.
- W2809982742 citedByCount "8" @default.
- W2809982742 countsByYear W28099827422021 @default.
- W2809982742 countsByYear W28099827422022 @default.
- W2809982742 countsByYear W28099827422023 @default.
- W2809982742 crossrefType "journal-article" @default.
- W2809982742 hasAuthorship W2809982742A5003468375 @default.
- W2809982742 hasAuthorship W2809982742A5017958455 @default.
- W2809982742 hasAuthorship W2809982742A5043174777 @default.
- W2809982742 hasAuthorship W2809982742A5070091611 @default.
- W2809982742 hasBestOaLocation W28099827421 @default.
- W2809982742 hasConcept C121332964 @default.
- W2809982742 hasConcept C127313418 @default.
- W2809982742 hasConcept C127413603 @default.
- W2809982742 hasConcept C165205528 @default.
- W2809982742 hasConcept C175551986 @default.
- W2809982742 hasConcept C198394728 @default.
- W2809982742 hasConcept C24890656 @default.
- W2809982742 hasConcept C41008148 @default.
- W2809982742 hasConceptScore W2809982742C121332964 @default.
- W2809982742 hasConceptScore W2809982742C127313418 @default.
- W2809982742 hasConceptScore W2809982742C127413603 @default.
- W2809982742 hasConceptScore W2809982742C165205528 @default.
- W2809982742 hasConceptScore W2809982742C175551986 @default.
- W2809982742 hasConceptScore W2809982742C198394728 @default.
- W2809982742 hasConceptScore W2809982742C24890656 @default.
- W2809982742 hasConceptScore W2809982742C41008148 @default.
- W2809982742 hasLocation W28099827421 @default.
- W2809982742 hasOpenAccess W2809982742 @default.
- W2809982742 hasPrimaryLocation W28099827421 @default.
- W2809982742 hasRelatedWork W1988729064 @default.
- W2809982742 hasRelatedWork W2027326123 @default.
- W2809982742 hasRelatedWork W2354135400 @default.
- W2809982742 hasRelatedWork W2359761104 @default.
- W2809982742 hasRelatedWork W2372826130 @default.
- W2809982742 hasRelatedWork W2374738985 @default.
- W2809982742 hasRelatedWork W2374956606 @default.
- W2809982742 hasRelatedWork W2382445659 @default.
- W2809982742 hasRelatedWork W2899084033 @default.
- W2809982742 hasRelatedWork W1951258780 @default.
- W2809982742 hasVolume "376" @default.
- W2809982742 isParatext "false" @default.
- W2809982742 isRetracted "false" @default.
- W2809982742 magId "2809982742" @default.
- W2809982742 workType "article" @default.