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Probability-based algorithm for bearing diagnosis with untrained spall sizes
Ido Tam
,
Meir Kalech
,
Lior Rokach
, Eyal Madar
,
Jacob Bortman
, Renata Klein
Department of Mechanical Engineering
Research output
:
Contribution to journal
›
Article
›
peer-review
10
Scopus citations
Overview
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Dive into the research topics of 'Probability-based algorithm for bearing diagnosis with untrained spall sizes'. Together they form a unique fingerprint.
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Keyphrases
Physical Model
100%
Spall Size
100%
Bearing Diagnosis
100%
Probability-based Algorithm
100%
Hypothesis Testing
33%
Machine Learning Algorithms
33%
Feature Extraction
33%
Time Series Feature Extraction
33%
Probability-based
16%
Prediction Model
16%
Spall
16%
Expert Knowledge
16%
Feature Extraction Methods
16%
Model-based Simulation
16%
Approach Time
16%
Bearing Spall
16%
Computer Science
Physical Model
100%
Probability
100%
Feature Extraction
66%
Machine Learning Algorithm
33%
Hypothesis Test
33%
Prediction Model
16%
Expert Knowledge
16%
Statistical Approach
16%