Table 7 Fault prediction and characterization techniques

[133]

Dissimilarity learning method based on Clustering

✓

✓

[134]

IoT based model

✓

×

[135]

Power line communication-based data transmission algorithm

✓

✓

[136]

Machine learning algorithm

✓

✓

[137]

Neural networks, SVM, Decision tree

✓

×

[138]

Data extraction from smart meters and sensors

✓

×

[139]

Feature extraction method from big data

✓

×

[140]

Machine learning algorithm

✓

✓

[141]

Big data approach towards data processing from smart meters

✓

×

[142]

ANN

✓

✓

[143]

Convolutional sparse autoencoder

✓

✓

[144]

Supervised data-driven topic model consisting of heterogeneous network of information

✓

×

[145]

Field programmable gate arrays (FPGAs) based higher order statistical method

✓

✓

[146]

Data-mining based model

✓

✓

[147]

Deep neural network

✓

✓

[148]

Data-driven Multivariate Exponentially Weighted Moving Average (MEWMA)

✓

✓

[149]

Sparse self-encoding neural network

✓

✓

[150]

ANN, Multiplier-based method (MBM)

✓

✓

[151]

Decision tree

✓

✓

[152]

Neural network

✓

×

[153]

Multivariate Statistical Analysis (MVA)

✓

×

[154]

Combined data analysis

✓

✓

[155]

Multi-agent model

✓

×

[156]

Mobile Edge Computing (MEC), IoT-based Solutions

✓

×

[157]

Neural network

✓

×

[158]

Neural network

✓

×

[159]

SVM

✓

×

[160]

Holonic multi-agent approach

✓

×