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Predicting remaining useful life of rotating machinery based artificial neural network
Work
Year: 2010
Type: article
Source: Computers & Mathematics with Applications
Authors Abd Kadir Mahamad, Sharifah Saon, Takashi Hiyama
Institutions Kumamoto University, Tun Hussein Onn University of Malaysia
Cites: 16
Cited by: 234
Related to: 10
FWCI: 13.3
Citation percentile (by year/subfield): 98.83
Topic: Machine Fault Diagnosis Techniques
Subfield: Control and Systems Engineering
Field: Engineering
Domain: Physical Sciences
Sustainable Development Goal Responsible consumption and production
Open Access status: closed