The development trend of rolling bearing fault diagnosis technology

In recent years, communication technology, electronic technology, the rapid development of computer technology, data processing technology to the development of dynamic bearing fault diagnosis provides powerful technical support. From the point of current research data, the direction and tendency of the development of rolling bearing fault is as follows: 1. Hybrid fault diagnosis technology research intelligent diagnosis technology is the rolling bearing fault diagnosis technology is an important research direction. Combine a variety of smart technology of mixed diagnosis system, is a development trend of intelligent fault diagnosis research. Combining ways mainly based on the rules of the combination of expert system and neural network, the combination of case reasoning and neural network, fuzzy logic, god is the combination of network and expert system, etc. 2. Multiple information fusion, integrate multi-level diagnosis knowledge base of all kinds of diagnosis knowledge, based on all kinds of fault data in the database, according to the different fault conditions and locating the fault point, comprehensive analysis and judgment of state monitoring of information fusion, hierarchical diagnosis model and then, according to the depth of diagnosis reasoning level. It further the condition monitoring of the signal processing are integrated into the diagnostic system of measurement, data processing and on-line diagnosis reasoning, implements the transition of the non real-time diagnosis to the real diagnosis, also has realized the unity of information diagnosis and intelligent diagnosis. 3. Remote cooperative diagnosis of rolling bearing based on the Internet the remote collaboration diagnosis is rolling bearing fault diagnosis technology and the combination of computer network technology, with a number of central computer as a server, the enterprise established on the key equipment condition monitoring, data acquisition device status; In the strong technical force of scientific research institutes to establish analysis diagnostic center, provide remote technical support and guarantee for the enterprise. Geographically remote cooperative diagnosis is the feature of test data, analysis method and the diagnosis knowledge network share so must make the traditional diagnosis technology, the core part of ( The signal collection, signal analysis and diagnosis expert system) Can run remotely on the Internet. 4. Diagnosis combined with control according to the health of the current state of the equipment to determine equipment operation mode or strategy, finally predict failure, so as to prevent the occurrence of fault, is the highest goal of diagnosis technology. It is to put the diagnosis system and control system, further set of monitoring, diagnosis, control and management. It has developed from a single diagnosis to the distributed system diagnosis, diagnosis of large amount of information, the type, the corresponding also requires a variety of data processing and joint of diagnosis reasoning method.