Equipment fault diagnosis system is a technology that monitors the status parameters of equipment, discovers abnormal situations, analyzes the causes of equipment failures, and predicts the future status of equipment. Master the stress, strength, failure, and degradation of equipment without dismantling or basically without dismantling it, and predict the reliability of the equipment. In the event of equipment malfunction, evaluate the cause, location, and degree of danger of the malfunction, and determine the correct repair method. Through equipment fault diagnosis technology, the problems, causes and severity of equipment can be determined, the most appropriate countermeasures can be taken to avoid the occurrence of fault accidents, targeted repair methods can be implemented to achieve accurate maintenance, timely troubleshooting, reduce repair time, lower maintenance costs and downtime losses, and improve the effective utilization rate of equipment.
The equipment fault diagnosis system monitors the acoustic or vibration status of the equipment, using methods such as raw data acquisition, spectrum analysis, feature extraction, database comparison, and abnormal signal recognition to provide fast, non-destructive, and non-contact diagnostic methods, improve the reliability and maintenance efficiency of the equipment, and enhance its service life. This scheme has been applied in application scenarios such as fault monitoring and positioning, rail roughness and wave wear testing.
·Non intrusive, real-time monitoring;
·Data analysis visualization;
·Identify equipment faults;
·Guoneng Sanhe Power Plant;
·Huadian Zouxian Power Plant;
·Science and Technology Research Institute, National Electric Power Investment Corporation;
