Rotating machinery fault prediction and diagnosis WitRMCloud business cloud platform (supporting privatized deployment), providing users with platform functions such as fault analysis, status monitoring, scene monitoring, fault management, operation and maintenance management, equipment management, customer management, and authority management; and providing a platform data reading interface function. At the same time, via big data analysis tools, SaaS service provides professional users with equipment operating status analysis, early warning failure analysis, and professional industrial equipment health diagnosis reports and maintenance recommendations.
Through the IoT high-frequency vibration sensor and platinum resistor, the vibration characteristics and load temperature characteristics of the rotating equipment are collected, and the vibration characteristics sample library is formed; the data is uploaded to WitCloud industrial IoT data cloud platform. Then WitExpert centre is used for deep data analysis: the function of WitExpertIdea is Expert Knowledge fault diagnosis, WitExpertML means Machine Learning fault diagnosis and WitExperAI is future objective acting artificial intelligence fault diagnosis and other tools. Intelligent analysis and processing of real-time data are collected to achieve unbalance, misalignment, looseness, gear wear, bearing aging and other rotating machinery fault prediction and diagnosis. Finally, it was shown to the customer's WitRMCloud business cloud platform for fault prediction and diagnosis of rotating machinery.