The Study on Power Quality Evaluation based on Data Analysis
Zhang Li, Yongcheng Jiang, Ning Liu, Zhang Baohua
Abstract
Zhang Li, Yongcheng Jiang, Ning Liu, Zhang Baohua
Abstract
Power quality is the guide to the power of equipment malfunction or cannot work normally voltage. Rapid use, to the electric power quality caused serious, destruction and pollution power quality, produce the voltage wave and so on many kinds of power quality problems, to the user and power supply party bring huge economic loss at the same time to plan. Microprocessor as the core of the intelligent precision equipment to the electric power quality put forward higher requirement, how to effectively can quality problem, improve the quality of power become the electric power industry research hotspot and focus of power quality inspection Richard and improve the quality of power, the prerequisite and basis of only fast. The correct detection and recognition of the electrical energy to take the right management measures improve the quality of power; reduce the loss of power quality problems.
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Power quality is the guide to the power of equipment malfunction or cannot work normally voltage. Rapid use, to the electric power quality caused serious, destruction and pollution power quality, produce the voltage wave and so on many kinds of power quality problems, to the user and power supply party bring huge economic loss at the same time to plan. Microprocessor as the core of the intelligent precision equipment to the electric power quality put forward higher requirement, how to effectively can quality problem, improve the quality of power become the electric power industry research hotspot and focus of power quality inspection Richard and improve the quality of power, the prerequisite and basis of only fast. The correct detection and recognition of the electrical energy to take the right management measures improve the quality of power; reduce the loss of power quality problems.
Key concepts: Computer science, Power analysis, Power quality, Quality (philosophy), Power (physics), Data mining, Data science, Reliability engineering