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OverviewMachine Performance Degradation Assessment Full Product DetailsAuthor: Dong Wang, PhD (Department of Industrial Engineering and Management, School of Mechanical Engineering, Shanghai Jiao Tong University, China) , Tongtong Yan, B.E. (Department of Industrial Engineering and Management and in the State Key Laboratory of Mechanical System and Vibration, Shanghai Jiao Tong University, China)Publisher: Elsevier - Health Sciences Division Imprint: Elsevier - Health Sciences Division Weight: 0.450kg ISBN: 9780443440076ISBN 10: 0443440077 Pages: 152 Publication Date: 24 October 2025 Audience: Professional and scholarly , Professional & Vocational Format: Paperback Publisher's Status: Active Availability: Manufactured on demand We will order this item for you from a manufactured on demand supplier. Table of Contents1. Machine performance degradation assessment 2. Fundamentals of convex optimization 3. Machine degradation processes related mathematical properties 4. Generalized health index weight optimization models based on degradation properties and amplitude fusion in the frequency domain 5. Generalized health index weight optimization models based on fault feature sparsity and amplitude fusion in the envelope spectral domain 6. ConclusionsReviewsAuthor InformationDr. Dong Wang is based at the Department of Industrial Engineering and Management, School of Mechanical Engineering, Shanghai Jiao Tong University, China. Dr Wang has over 15 years' research experience on machine condition monitoring and fault diagnosis. Dr Wang's research focuses on the theoretical foundations of fault feature extraction and their applications to machine condition monitoring, fault diagnosis and prognostics Tongtong Yan received her B.E. degree from Central South University in Changsha, China, in 2019. She is currently pursuing her Ph.D. in the Department of Industrial Engineering and Management and in the State Key Laboratory of Mechanical System and Vibration, Shanghai Jiao Tong University, China. Her research interests include interpretable convex optimization modeling, machine learning, statistical learning, machine condition monitoring, performance degradation assessment, and fault diagnosis Tab Content 6Author Website:Countries AvailableAll regions |
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