A Fault Degradation State Prediction Method for Closed-loop Control System of Steam Turbine Bearings in Smart Power Plant

Abstract

The invention discloses a fault degeneration state prediction method of a closed-loop control system for an intelligent power plant turbine bearing. The fault degeneration state prediction method comprises the steps of firstly, extracting a part relevant to a time sequence in a variable by canonical variate analysis (CVA); secondly, performing slow feature analysis (SFA) on the part relevant to the time sequence, and respectively extracting steady-state characteristic and time changing characteristic, wherein the extracted time changing characteristic and the steady-state characteristic can beused for fully reflecting time sequence correlation and changing speed of the variable in the closed-loop control system of the turbine bearing; and finally, inputting the extracted characteristic toa continuous hidden Markov model (CHMM) to forecast a fault degeneration state. According to the method, the time sequence correlation and the changing speed of the variable of the closed-loop control system during the dynamic adjustment process when a fault occurs are simultaneously considered, and the fault degeneration state of the closed-loop control system of the intelligent power plant turbine bearing can be more accurately forecasted.

Description

technical field [0001] The invention belongs to the field of fault degradation state prediction of a closed-loop control system, in particular to a method for predicting the fault degradation state of a closed-loop control system facing intelligent power plant steam turbine bearings. Background technique [0002] The power industry is a pillar industry in my country's national economy. With the rapid development of my country's economy, the society's demand for power continues to increase. In my country's power structure, thermal power is the main power source. In recent years, for the sustainable development of electric power, the thermal power industry has actively carried out structural adjustments, "upperizing the large and suppressing the small", and replacing high-energy-consuming small thermal power units with large-capacity, high-parameter, and low-energy consumption large-scale thermal power units. With the in-depth integration of informatization and industrializat...

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Problems solved by technology

When the predecessors analyzed the closed-loop control system, they seldom considered these two aspects comprehensively. Therefore, it was impossible to distinguish between the time-series correlation of the process variable and the changing speed under the action of the closed-loop control system.

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