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"item_title" : "Rotating Machinery and Signal Processing",
"item_author" : [" Ahmed Felkaoui", "Fakher Chaari", "Mohamed Haddar "],
"item_description" : "From the content: Feature Selection Scheme Based on Pareto Method for Gearbox Fault Diagnosis.- A Intelligent Gear Fault Diagnosis in Normal and Non-Stationary Conditions Based on Instantaneous Angular Speed, Differential Evolution and Multi-class Support Vector Machine.- Effect of Input Data on The Neural Networks Performance Applied in Bearing Fault Diagnosis.",
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Rotating Machinery and Signal Processing : Proceedings of the First Workshop on Signal Processing Applied to Rotating Machinery Diagnostics, Sigpromd'2
Overview
From the content: Feature Selection Scheme Based on Pareto Method for Gearbox Fault Diagnosis.- A Intelligent Gear Fault Diagnosis in Normal and Non-Stationary Conditions Based on Instantaneous Angular Speed, Differential Evolution and Multi-class Support Vector Machine.- Effect of Input Data on The Neural Networks Performance Applied in Bearing Fault Diagnosis.
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Details
- ISBN-13: 9783030071493
- ISBN-10: 3030071499
- Publisher: Springer
- Publish Date: December 2018
- Dimensions: 9.21 x 6.14 x 0.31 inches
- Shipping Weight: 0.47 pounds
- Page Count: 133
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