Electric energy meter measurement data fault analysis method based on improved AdaBoost algorithm
A technology of measurement data and fault analysis, applied in the direction of measuring electrical variables, calculation, measuring devices, etc., can solve the problems of many factors of electric energy meter faults and failure to analyze the fault factors of electric energy meters
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Embodiment 1
[0052] Example 1 System
[0053] Such as Figure 1-Figure 4 Shown, a kind of electric energy meter measurement data failure analysis system of improved AdaBoost algorithm, described system comprises:
[0054] The measurement and detection layer is at least provided with an electric energy meter verification device, an electric energy meter verification pipeline, a sensor device or an electric energy meter verification system for detecting electric energy meter data information, wherein the electric energy meter data information includes at least current, voltage, power, Vibration or ripple, the sensor device at least includes electrical sensors, infrared sensors, speed sensors, acceleration sensors, GIS sensors, vibration sensors, ripple sensors, temperature and humidity sensors, angle sensors, magnetic field sensors, rotational speed sensors, RFID tags, GPS equipment, ray radiation sensor, thermal sensor, energy consumption sensor or M2M terminal;
[0055] The data transmis...
Embodiment 2
[0062] Example 2 method
[0063] Such as Figure 5-Figure 7 Shown, a kind of electric energy meter measurement data failure analysis method of improved AdaBoost algorithm: described method comprises the following steps:
[0064] (S1) Data acquisition; obtain the data information of the electric energy meter detected by the record; and clean and sample the obtained electric energy meter data, output pure data information, and realize the preprocessing of the electric energy meter data information;
[0065] In this step, the multi-latitude data is obtained mainly through multiple channels, multiple angles, and multiple methods, and the data types may include various forms of data, such as images, texts, sounds, videos, and other data types. Due to the unevenness of data information, useful data information is screened from these data types to facilitate subsequent application and management.
[0066] (S2) Data transmission: receiving and transmitting the data information of th...
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