An abnormal detection method for energy consumption of mechanical equipment based on mechanism data fusion
A technology of mechanical equipment and data fusion, which is applied in the field of mechanical inspection and machinery, and can solve the problems of poor generalization ability of general mechanical equipment.
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[0034] refer to figure 1 , to further describe in detail the specific implementation steps of the present invention.
[0035] Step 1, generate the energy consumption data set of the mechanical equipment to be tested.
[0036] The first step is to collect the three-phase voltage and three-phase current data of the equipment to be tested for 5000 seconds at a data collection time interval of 5s from the running time of the mechanical equipment to be tested, and collect 1000 voltages and 1000 currents The data constitute the voltage and current data sets of the mechanical equipment to be detected.
[0037] In the second step, use the same method as the first step of this step to generate the power data set of the mechanical equipment to be tested.
[0038] Step 2, using the mechanism data fusion method to calculate the test value of the voltage in the voltage data set.
[0039] Calculate the abnormal test value of the voltage under the standard T test according to the followin...
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