A Central Air Conditioning Fault Prediction and Diagnosis Method Based on Dual Intelligent Algorithms
A central air-conditioning and fault prediction technology, applied in neural learning methods, calculations, heating methods, etc., to achieve high computing efficiency, good generalization ability, and easy engineering application
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[0112] A method for predicting and diagnosing central air-conditioning faults with dual intelligence algorithms, the method comprising the following steps:
[0113] 1. Collect on-site central air-conditioning operation real-time data set S on-line ;
[0114] 2. The real-time data set S in the "one" step on-line Input to the pre-established central air-conditioning fault prediction and diagnosis classification neural network model based on simulated annealing algorithm and extreme learning machine algorithm to judge the real-time data set S in the "one" step on-line Whether it satisfies the minimum misclassification rate of central air-conditioning failure prediction and diagnosis;
[0115] 3. The real-time data set S in the "two" step on-line If the misclassification rate of central air-conditioning fault prediction and diagnosis is satisfied, then output the classification results of central air-conditioning fault prediction and diagnosis.
[0116] In the "two" step: if t...
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