Faults diagnosis and assessment of transformer insulation oil quality: intelligent methods based on dissolved gas analysis a-review

Abstract

The search for determining accurate faults and assessing the oil quality of high voltage electrical power transformers for life-long maintenance is ever-demanding. The durability of transformers function is significantly decided by the excellence of its insulation which deteriorates over time due to temperature fluctuations and moisture contents. The accurate diagnoses of faults in early stages and the efficient assessment of oil quality using an intelligent program is the key challenges in protecting transformers from potential failures occur during operation to avoid economic losses. The dissolved gases analysis in oil is a reliable method in the diagnosis of faults and assessing the quality of insulating oil in transformers. Recently, application of artificial intelligence (AI) has included fuzzy logic, expert system (EPS), and artificial neural network (ANN), Expert system and fuzzy logic can take DGA standards. This paper represents the review most of the methods used to diagnose faults and assessment of insulating oil for transformers through the dissolved gases analysis DGA.

Big Data Intelligent Collection and Network Failure Analysis Based on Artificial Intelligence

“…Through barcode technology, radio frequency technology, internet of things, global positioning system technology, geographic information system technology, ERP, CRM, wide application of technology such as industrial control system, can quickly collect, process, and analyze data, promote industrial enterprises to realize the interconnection of all links in the production process. Regarding the current status of big data acquisition methods, the main problems in data acquisition methods, analyze the changes and strategies of future acquisition methods, and expounds the trend of change in the way of big data acquisition [12]. Lei, Y. will first introduce big data and artificial intelligence, after analyzing the application of artificial intelligence in computer networks in the current era of big data, in this way, it can be used as a reference for relevant people to communicate [13].…”