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Sensors, Vol. 18, Pages 4430: Machine Learning-Based Sensor Data Modeling Methods for Power Transformer PHM
heng Yang An emerging prognostic and health management (PHM) technology has recently attracted a great deal of attention from academies, industries, and governments. The need for higher equipment availability and lower maintenance cost is driving the development and integration of prognostic and health management systems. PHM models depend on the smart sensors and data generated from sensors. This paper proposed a machine learning-based methods for developing PHM models from sensor data to perform fault diagnostic for transformer systems in a smart grid. In particular, we apply the Cuckoo Search (CS) algorithm to optim...
Source: Sensors - December 14, 2018 Category: Biotechnology Authors: Anyi Li Xiaohui Yang Huanyu Dong Zihao Xie Chunsheng Yang Tags: Article Source Type: research