Prognostic and health management system for system management and method thereof

• Main Authors: CHEN, MENG-JEN, WEN, YUAN-HAO, PAN, YING-HAO, CHEN, YEN-JEN
• Format: Patent
• Language: Chinese; English
• Published: 01.02.2023
• Subjects: CALCULATING; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; COUNTING; HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATIONTECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING ORPROCESSING OF MEDICAL OR HEALTHCARE DATA; INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS; PHYSICS

A machine-learning-based prognostic and health management system includes a machine monitor, a command receiver, a processor, and an alarm. The machine monitor dynamically receives to-be-tested machine data that is associated with a to-be-tested machine's operations. The command receiver dynamically receives a model assigning command. The processor dynamically applies a damage early warning machine learning model that is assigned via the model assigning command for processing the to-be-tested machine data to predict an anomaly probability that an anomaly occurs to the to-be-tested machine. Also, the processor generates a damage possibility warning dynamically according to the anomaly probability for determining whether to keep the to-be-tested machine running or not. The alarm indicates the anomaly probability according to the damage possibility warning and indicates whether to keep the to-be-tested machine running or not.