Fault diagnosis and online monitoring method for draught fan master control system based on data driving
A main control system and data-driven technology, applied in the monitoring of wind turbines, engines, engine components, etc., can solve problems such as cumbersome methods and complex implementations, and achieve the effects of improving economic benefits, improving power generation efficiency, and improving operation
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[0060] Such as figure 1 As shown, the data-driven wind turbine main control system fault diagnosis and online monitoring method includes PCA modeling of the normal operation data of the wind turbine main control system, fault diagnosis of the wind turbine main control system operation fault data and real-time There are three stages of real-time monitoring of operating data, including the following steps:
[0061] Step 1: When the main control system of the fan is running normally, periodically sample the variables of the main control system of the main control system of the fan, and perform data processing on the sampled data to calculate T 2 Control Limits and SPE Control Limits:
[0062] Step 1-1: When the main control system of the wind turbine is running normally, the data acquisition equipment periodically samples n main control system variables during the operation of the main control system of the wind turbine, and samples m times to obtain the normal sampling matrix X...
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