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In order to improve the use of the security of the crew, the large rotating machinery condition monitoring has been widely adopted, along with the regular maintenance of the equipment to repair the equipment as the case of the development process, equipment fault diagnosis technology has received widespread attention and constantly development. With the development of communication and network technologies, people are no longer satisfied with the stand-alone diagnostic techniques, diagnostic techniques to share, to solve more unit failure, so networking become the inevitable trend in the development of diagnostic techniques. The United States, Japan, Europe and the developed countries are already widely carried out a large key units predictive maintenance, condition monitoring maintenance can save 30 to 50% of maintenance costs, and equipment operation cycle was extended. The past 20 years, some of our strong enterprises in cooperation with universities and research departments, developed a large rotating equipment features for the enterprise equipment monitoring and fault diagnosis system, but some systems slow analysis, monitoring of collection process engineering signal the lack of a comprehensive analysis capabilities, system versatility, scalability shortcomings of sexual poor, is not conducive to the professional precision analysis and diagnosis. To this end it is necessary to absorb the advantages of the system of monitoring and diagnostic analysis of large units at home and abroad, to overcome the lack of developed diagnostic analysis system with high-tech features of the utility monitoring. Fundamentally, the system can change the backward equipment inspection, to improve the real-time device monitoring and effectiveness, not only saves time and manpower, can also be an effective to shorten troubleshooting equipment maintenance cycle, to reduce consumption, cost savings, improve equipment utilization and production efficiency purposes, at the same time provide a scientific basis for scientific equipment and production management. Large turbine compressor group, the \The long-running large-scale key equipment in high-temperature, high-pressure, high-speed, corrosive, flammable, explosive environment state had repeatedly occurred bush-burning, severe wear broken impeller blade fracture accident parking accident. Due to continuous and automation of the production of petrochemical enterprises, these large units once the failure will cause a chain reaction, causing huge economic losses. Therefore, how to improve the management level of the unit equipment to ensure the safe and reliable operation of large unit enterprises urgently need to address the problem. Large turbine compressor unit fault diagnosis and maintenance decision support system is a distributed network system for the entire enterprise, and the four plants, chemical plant and other 18 large turbine compressor group networking. Online monitoring and fault diagnosis system can not only carry out the operational status of these units, but also provides the basic condition of the unit and maintenance of information collection function, the vibration data, process parameters and existing artificial periodic monitoring information combined unit normal regular state assessment and the abnormal state of the unit under the comprehensive fault diagnostic analysis and maintenance decisions provide an important basis for the unit failed early. Fundamentally change the backward key unit inspection and maintenance management, improve the management level.
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