Machine learning-based fault diagnosis for industrial engineering systems. (2022)

• Record Type: Book
• Further Information: Note: Rui Yang, Maiying Zhong.
• Authors: (Professor of computer engineering), Yang, Rui; Zhong, Maiying
• Contents: 1. Background and Related Methods. 2. Fault Diagnosis Method Based on Recurrent Convolutional Neural Network. 3. Fault Diagnosis of Rotating Machinery Gear Based on Random Forest Algorithm. 4. Bearing Fault Diagnosis under Different Working Conditions Based on Generative Adversarial Networks. 5. Rotating Machinery Gearbox Fault Diagnosis Based on One-Dimensional Convolutional Neural Network and Random Forest. 6. Fault Diagnosis for Rotating Machinery Gearbox Based on Improved Random Forest Algorithm. 7. Imbalanced Data Fault Diagnosis Based on Hybrid Feature Dimensionality Reduction and Varied Density Based Safe-Level Synthetic Minority Oversampling Technique.
• Edition: 1st
• Publisher Details: Boca Raton : CRC Press
• Publication Date: 2022
• Extent: 1 online resource, illustrations (black and white)
• Subjects: 620.00452; Fault location (Engineering) -- Automation; Automatic test equipment; Machinery -- Testing; Industrial equipment -- Maintenance and repair; Machine learning
• Languages: English
• ISBNs: 9781000594935; 9781000594928; 9781003240754
• Related ISBNs: 9781032147253
• Notes: Note: Includes bibliographical references and index.; Note: Description based on CIP data; resource not viewed.
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.