Matches in SemOpenAlex for { <https://semopenalex.org/work/W1892015473> ?p ?o ?g. }
Showing items 1 to 98 of
98
with 100 items per page.
- W1892015473 abstract "Sample size determination for a data set is an important statistical process for analyzing the data to an optimum level of accuracy and using minimum computational work. The applications of this process are credible in every domain which deals with large data sets and high computational work. This study uses Bayesian analysis for determination of minimum sample size of vibration signals to be considered for fault diagnosis of a bearing using pre-defined parameters such as the inverse standard probability and the acceptable margin of error. Thus an analytical formula for sample size determination is introduced. The fault diagnosis of the bearing is done using a machine learning approach using an entropy-based J48 algorithm. The following method will help researchers involved in fault diagnosis to determine minimum sample size of data for analysis for a good statistical stability and precision." @default.
- W1892015473 created "2016-06-24" @default.
- W1892015473 creator A5032534129 @default.
- W1892015473 creator A5052009164 @default.
- W1892015473 date "2014-02-25" @default.
- W1892015473 modified "2023-10-17" @default.
- W1892015473 title "Bayesian Sample Size Determination of Vibration Signals in Machine Learning Approach to Fault Diagnosis of Roller Bearings" @default.
- W1892015473 cites W1989701417 @default.
- W1892015473 cites W1995348800 @default.
- W1892015473 cites W1997595920 @default.
- W1892015473 cites W1997743023 @default.
- W1892015473 cites W2019710076 @default.
- W1892015473 cites W2040584032 @default.
- W1892015473 cites W2041056599 @default.
- W1892015473 cites W2041996650 @default.
- W1892015473 cites W2048572168 @default.
- W1892015473 cites W2048977064 @default.
- W1892015473 cites W2049166790 @default.
- W1892015473 cites W2074319784 @default.
- W1892015473 cites W2087627575 @default.
- W1892015473 doi "https://doi.org/10.48550/arxiv.1402.6133" @default.
- W1892015473 hasPublicationYear "2014" @default.
- W1892015473 type Work @default.
- W1892015473 sameAs 1892015473 @default.
- W1892015473 citedByCount "0" @default.
- W1892015473 crossrefType "posted-content" @default.
- W1892015473 hasAuthorship W1892015473A5032534129 @default.
- W1892015473 hasAuthorship W1892015473A5052009164 @default.
- W1892015473 hasBestOaLocation W18920154731 @default.
- W1892015473 hasConcept C105795698 @default.
- W1892015473 hasConcept C106301342 @default.
- W1892015473 hasConcept C107673813 @default.
- W1892015473 hasConcept C111919701 @default.
- W1892015473 hasConcept C11413529 @default.
- W1892015473 hasConcept C121332964 @default.
- W1892015473 hasConcept C12267149 @default.
- W1892015473 hasConcept C124101348 @default.
- W1892015473 hasConcept C127313418 @default.
- W1892015473 hasConcept C129848803 @default.
- W1892015473 hasConcept C153180895 @default.
- W1892015473 hasConcept C154945302 @default.
- W1892015473 hasConcept C165205528 @default.
- W1892015473 hasConcept C175551986 @default.
- W1892015473 hasConcept C185592680 @default.
- W1892015473 hasConcept C198394728 @default.
- W1892015473 hasConcept C198531522 @default.
- W1892015473 hasConcept C199978012 @default.
- W1892015473 hasConcept C33923547 @default.
- W1892015473 hasConcept C41008148 @default.
- W1892015473 hasConcept C43617362 @default.
- W1892015473 hasConcept C52001869 @default.
- W1892015473 hasConcept C62520636 @default.
- W1892015473 hasConcept C66696666 @default.
- W1892015473 hasConcept C9679016 @default.
- W1892015473 hasConcept C98045186 @default.
- W1892015473 hasConceptScore W1892015473C105795698 @default.
- W1892015473 hasConceptScore W1892015473C106301342 @default.
- W1892015473 hasConceptScore W1892015473C107673813 @default.
- W1892015473 hasConceptScore W1892015473C111919701 @default.
- W1892015473 hasConceptScore W1892015473C11413529 @default.
- W1892015473 hasConceptScore W1892015473C121332964 @default.
- W1892015473 hasConceptScore W1892015473C12267149 @default.
- W1892015473 hasConceptScore W1892015473C124101348 @default.
- W1892015473 hasConceptScore W1892015473C127313418 @default.
- W1892015473 hasConceptScore W1892015473C129848803 @default.
- W1892015473 hasConceptScore W1892015473C153180895 @default.
- W1892015473 hasConceptScore W1892015473C154945302 @default.
- W1892015473 hasConceptScore W1892015473C165205528 @default.
- W1892015473 hasConceptScore W1892015473C175551986 @default.
- W1892015473 hasConceptScore W1892015473C185592680 @default.
- W1892015473 hasConceptScore W1892015473C198394728 @default.
- W1892015473 hasConceptScore W1892015473C198531522 @default.
- W1892015473 hasConceptScore W1892015473C199978012 @default.
- W1892015473 hasConceptScore W1892015473C33923547 @default.
- W1892015473 hasConceptScore W1892015473C41008148 @default.
- W1892015473 hasConceptScore W1892015473C43617362 @default.
- W1892015473 hasConceptScore W1892015473C52001869 @default.
- W1892015473 hasConceptScore W1892015473C62520636 @default.
- W1892015473 hasConceptScore W1892015473C66696666 @default.
- W1892015473 hasConceptScore W1892015473C9679016 @default.
- W1892015473 hasConceptScore W1892015473C98045186 @default.
- W1892015473 hasLocation W18920154731 @default.
- W1892015473 hasOpenAccess W1892015473 @default.
- W1892015473 hasPrimaryLocation W18920154731 @default.
- W1892015473 hasRelatedWork W2034870236 @default.
- W1892015473 hasRelatedWork W2041399278 @default.
- W1892015473 hasRelatedWork W2099369243 @default.
- W1892015473 hasRelatedWork W2129011754 @default.
- W1892015473 hasRelatedWork W2941406960 @default.
- W1892015473 hasRelatedWork W3193301557 @default.
- W1892015473 hasRelatedWork W3203352417 @default.
- W1892015473 hasRelatedWork W3214058074 @default.
- W1892015473 hasRelatedWork W4223656335 @default.
- W1892015473 hasRelatedWork W2345184372 @default.
- W1892015473 isParatext "false" @default.
- W1892015473 isRetracted "false" @default.
- W1892015473 magId "1892015473" @default.
- W1892015473 workType "article" @default.