Condition Monitoring And Fault Prediction Of Large Lignite Drying System

Energy is an important material basis for a human life and promote social progress. In humans today’s energy use, Approximately ninety-nine percent come from coal natural gas,oil and other fossil resources, These resource reserves on earth is limited, and is not renewable. Coal is the most important primary energy in China. The energy problem increasingly prominent, resulting in the development and utilization of lignite by more and more domestic research institutions and government. Then the lignite drying equipment technology security has become the key discussion. Lignite drying equipment size between subsystems is closely related to the once a part of equipment malfunction in the operation process is very possible serious consequences:light interrupt production, cause huge economic losses, While an accident involving heavy casualties to businesses and individuals can eliminate harm brought. Therefore develop a set of lignite drying equipment on-line monitoring and control system for timely discovery lignite drying equipment safeguard equipment abnormalities, safety and efficiency, ensure safety staff is particularly important. Therefore, Use the equipment condition monitoring and fault prediction technology in large lignite drying system, Make it play an increasing role in modern equipment, is the tasks of scientific research personnel and mission inLignite drying technology.Based on large lignite drying equipment for research object of on-line monitoring device with control system design and implementation. Firstly analyzed on-line monitoring and control system of the feasibility and necessity. Then the whole system involves the theoretical knowledge, detailing the lignite, and determine its drying technology parameters of this system for monitoring the theory, theoretically determines large-scale lignite drying equipment control system of on-line monitoring and control parameters and for the whole monitoring system, provides the theory basis for large lignite drying equipment, Signal analysis methods combined with a variety of major lignite drying equipment condition monitoring and fault prediction, Which contains the necessary parameters of the acquisition, and signal extraction methods and analytical tools. In this paper, time series methods, the establishment of ARM A model for fault prediction. Based on the virtual instrument technology and related technology of equipment and control system of on-line monitoring of the overall design of the frame. To monitor the system hardware and software are put forward the reasonable request, expounds the structure of the system hardware and software and the principles that should be followed when selected. Introduces the lignite dry monitoring system of various kinds of hardware principle and main technical indices of knowledge. Considering the factors of the situation, choose out both can satisfy the requirements, and economic system, the hardware for online monitoring and equipment for the lignite lays the foundation of the control system. According to the function requirements of monitoring system design of large lignite drying equipment and control system of on-line monitoring of the interface, simple interface functions are introduced. Data acquisition, alarm system out-of-gauge module design and flow chart and software diagram.This research enriched equipment condition monitoring and control system of the theories and methods to solve the lignite, on-line monitoring and control of drying equipment, somekey issues for further exploration accumulated a certain amount of research experience. However, large lignite drying equipment on-line monitoring and control is a complex, involving multiple disciplines of systems engineering, and many work need further improvement.