Early fault search method for large rotary machinery under complicated working conditions

Abstract

The invention discloses an early fault search method for large rotary machinery under complicated working conditions in the technical field of operation safety evaluation of large rotary equipment. The method comprises the following steps of: identifying and analyzing vibration fault signs of large rotary mechanical equipment; arranging system vibration monitoring points: dividing time sequences of input parameters, realizing a time division algorithm for vibration parameters of operating equipment, and preprocessing time sequences of the vibration parameters, including data centering and standardizing; and constructing early fault extraction characteristic factors for the time sequences of the vibration parameters, performing association analysis on fault and sign matching degree, analyzing abnormal parameters of fault classified signs to search the time sequences of dangerous potential points characterizing early faults. The safety, reliability and stability of the large rotary mechanical equipment are improved, serious faults of the large rotary mechanical equipment are avoided, and the economic benefits of industries such as energy, steel, coal and transportation is improved.

Description

technical field [0001] The invention belongs to the technical field of operation safety assessment of rotating equipment, and particularly relates to an early fault search method for large-scale rotating machinery under complex working conditions, and specifically relates to the general and complex operation of large-scale rotating equipment in enterprises such as energy, steel, coal mines, and transportation. In-depth mining of fault operation information under working conditions to achieve early prevention methods. Background technique [0002] With the development of industry and the advancement of modern science and technology, improving the operating efficiency of enterprises has become the focus of the management of large and medium-sized enterprises. Energy, iron and steel, coal and other industries seek better development in the fierce market competition and strive to comprehensively enhance the comprehensive competitiveness of enterprises. The most important means i...

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Problems solved by technology

[0004] The research status at home and abroad shows that the application of sensor monitoring technology and vibration analysis and diagnosis technology in related fields has basically realized the condition monitoring and fault diagnosis of large rotating machinery, but the fault diagnosis and troubleshooting lack predictability and have a certain functional hysteresis. Enables early trend analysis of operating failures in large rotating machinery

In addition, large-scale rotating machinery has a long operating history, variable working conditions, and prominent non-stationarity, which invisibly increases the difficulty of early fault search for large-scale rotating machinery. The disturbance caused by the state change, or the meaning of the fault characteristic quantity is lost because of the insignificant energy change

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