backpropagation; fault diagnosis; learning (artificial intelligence); neural nets; pattern classification; power engineering computing; power grids; power transformers; principal component analysis; BPNN; DGA; PCA_IR scheme; PMS; association analysis; back propagation neural network; data analytics; data quality; data-driven fault diagnosis; dimension-increment procedure; dimension-reduction procedure; fault diagnosis accuracy improvement; grid condition classification; grid condition evaluation; improved machine learning scheme; noise reduction; noisy data; power grid equipment; power transformers; principal component analysis; production management system; raw training data; training data dimension; Accuracy; Correlation; Correlation coefficient; Fault diagnosis; Power grids; Power transformers; Principal component analysis; BPNN; PCA; PCC; transformer fault diagnosis;
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