Drupal-Biblio17<style face="normal" font="default" size="100%">Federated Learning for Condition Monitoring of Industrial Processes: A Review on Fault Diagnosis Methods, Challenges, and Prospects</style>Drupal-Biblio17<style face="normal" font="default" size="100%">ProgNet: A Transferable Deep Network for Aircraft Engine Damage Propagation Prognosis under Real Flight Conditions</style>Drupal-Biblio17<style face="normal" font="default" size="100%">Cybersecurity Enhancement of Smart Grid: Attacks, Methods, and Prospects</style>Drupal-Biblio10<style face="normal" font="default" size="100%">Deep Learning with Recurrent Expansion for Electricity Theft Detection in Smart Grids</style>Drupal-Biblio10<style face="normal" font="default" size="100%">Detecting Cyberthreats in Smart Grids Using Small-Scale Machine Learning</style>Drupal-Biblio17<style face="normal" font="default" size="100%">EL-NAHL: Exploring labels autoencoding in augmented hidden layers of feedforward neural networks for cybersecurity in smart grids</style>Drupal-Biblio17<style face="normal" font="default" size="100%">Exposing Deep Representations to a Recurrent Expansion with Multiple Repeats for Fuel Cells Time Series Prognosis</style>Drupal-Biblio17<style face="normal" font="default" size="100%">A Heterogeneous Federated Transfer Learning Approach with Extreme Aggregation and Speed</style>Drupal-Biblio10<style face="normal" font="default" size="100%">Improving Small-scale Machine Learning with Recurrent Expansion for Fuel Cells Time Series Prognosis</style>Drupal-Biblio17<style face="normal" font="default" size="100%">Machine learning for cybersecurity in smart grids: A comprehensive review-based study on methods, solutions, and prospects</style>Drupal-Biblio17<style face="normal" font="default" size="100%">A Semi-Supervised Deep Transfer Learning Approach for Rolling-Element Bearing Remaining Useful Life Prediction</style>Drupal-Biblio17<style face="normal" font="default" size="100%">A Systematic Guide for Predicting Remaining Useful Life with Machine Learning</style>Drupal-Biblio17<style face="normal" font="default" size="100%">Auto-NAHL: A Neural Network Approach for Condition-Based Maintenance of Complex Industrial Systems</style>Drupal-Biblio17<style face="normal" font="default" size="100%">A deep supervised learning approach for condition-based maintenance of naval propulsion systems</style>Drupal-Biblio17<style face="normal" font="default" size="100%">Intelligent Condition Monitoring of Wind Power Systems: State of the Art Review</style>Drupal-Biblio17<style face="normal" font="default" size="100%">Leveraging Label Information in a Knowledge-Driven Approach for Rolling-Element Bearings Remaining Useful Life Prediction</style>Drupal-Biblio10<style face="normal" font="default" size="100%">Machine Learning for Photovoltaic Systems Condition Monitoring: A Review</style>Drupal-Biblio17<style face="normal" font="default" size="100%">Machine Learning-Based Condition Monitoring for PV Systems: State of the Art and Future Prospects</style>Drupal-Biblio17<style face="normal" font="default" size="100%">A Semi-Supervised Deep Transfer Learning Approach for Rolling-Element Bearing Remaining Useful Life Prediction</style>Drupal-Biblio10<style face="normal" font="default" size="100%">Sequence-To-Sequence Health Index Estimation of Rolling Bearings with Long-Short Term Memory and Transfer Learning</style>Drupal-Biblio17<style face="normal" font="default" size="100%">Auto-NAHL: A neural network approach for condition-based maintenance of complex industrial systems</style>Drupal-Biblio17<style face="normal" font="default" size="100%">A deep supervised learning approach for condition-based maintenance of naval propulsion systems</style>Drupal-Biblio17<style face="normal" font="default" size="100%">Intelligent Condition Monitoring of Wind Power Systems: State of the Art Review</style>Drupal-Biblio17<style face="normal" font="default" size="100%">Leveraging Label Information in a Knowledge-Driven Approach for Rolling-Element Bearings Remaining Useful Life Prediction</style>Drupal-Biblio10<style face="normal" font="default" size="100%">Machine Learning for Photovoltaic Systems Condition Monitoring: A Review</style>Drupal-Biblio17<style face="normal" font="default" size="100%">Machine Learning-Based Condition Monitoring for PV Systems: State of the Art and Future Prospects</style>Drupal-Biblio17<style face="normal" font="default" size="100%">A Semi-supervised Deep Transfer Learning Approach for Rolling-Element Bearing Remaining Useful Life Prediction</style>Drupal-Biblio10<style face="normal" font="default" size="100%">Sequence-To-Sequence Health Index Estimation of Rolling Bearings with Long-Short Term Memory and Transfer Learning</style>Drupal-Biblio17<style face="normal" font="default" size="100%">Aircraft Engines Remaining Useful Life Prediction with an Improved Online Sequential Extreme Learning Machine</style>Drupal-Biblio17<style face="normal" font="default" size="100%">Aircraft engines Remaining Useful Life prediction with an adaptive denoising online sequential Extreme Learning Machine</style>Drupal-Biblio17<style face="normal" font="default" size="100%">Aircraft engines remaining useful life prediction with an improved online sequential extreme learning machine</style>Drupal-Biblio10<style face="normal" font="default" size="100%">Photovoltaic module simultaneous open-and short-circuit faults modeling and detection using the I–V characteristic</style>Drupal-Biblio17<style face="normal" font="default" size="100%">Smart Algorithm Based on the Optimization of SVR Technique by k-NNR Method for the Prognosis of the Open-Circuit and the Reversed Polarity Faults in a PV Generator</style>Drupal-Biblio17<style face="normal" font="default" size="100%">Smart algorithm for the preventive monitoring of the impedance fault within a PV generator</style>Drupal-Biblio10<style face="normal" font="default" size="100%">Smart diagnosis algorithm of the open-circuit fault in a photovoltaic generator</style>Drupal-Biblio17<style face="normal" font="default" size="100%">Electrical faults modeling of the photovoltaic generator</style>Drupal-Biblio10<style face="normal" font="default" size="100%">Faults modeling of the impedance and reversed polarity types within the PV generator operation</style>Drupal-Biblio10<style face="normal" font="default" size="100%">Modeling the PV generator behavior submit to the open-circuit and the short-circuit faults</style>Drupal-Biblio10<style face="normal" font="default" size="100%">New Algorithm for the IV Characteristic Modeling of the Photovoltaic Generator Malfunction within Impedance and Reversed Polarity Faults</style>Drupal-Biblio17<style face="normal" font="default" size="100%">Optimization of SVM Classifier by k-NN for the Smart Diagnosis of the Short-Circuit and Impedance Faults in a PV Generator</style>Drupal-Biblio10<style face="normal" font="default" size="100%">A regression algorithm for the smart prognosis of a reversed polarity fault in a photovoltaic generator</style>Drupal-Biblio10<style face="normal" font="default" size="100%">A smart algorithm for the diagnosis of short-circuit faults in a photovoltaic generator</style>Drupal-Biblio17<style face="normal" font="default" size="100%">Fuzzy pattern recognition based fault diagnosis</style>Drupal-Biblio10<style face="normal" font="default" size="100%">Modeling and Evaluation of Single Machine Flexibility Using Fuzzy Entropy and Genetic Algorithm Based Approach</style>Drupal-Biblio10<style face="normal" font="default" size="100%">Comparative analysis of estimation techniques of SOFC induction motor for electric vehicles</style>Drupal-Biblio17<style face="normal" font="default" size="100%">Modeling, analysis and neural network control of an EV electrical differential</style>Drupal-Biblio10<style face="normal" font="default" size="100%">Analysis, modelling and neural network traction control of an electric vehicle without differential gears</style>Drupal-Biblio10<style face="normal" font="default" size="100%">Comparative analysis of control techniques for efficiency improvement in electric vehicles</style>Drupal-Biblio17<style face="normal" font="default" size="100%">A loss minimisation DTC scheme for EV induction motors</style>Drupal-Biblio10<style face="normal" font="default" size="100%">SDTC neural network traction control of an electric vehicle without differential gears</style>Drupal-Biblio17<style face="normal" font="default" size="100%">Induction motors stator fault detection and diagnosis by a rather simple fuzzy logic approach. A case study for electric machines fuzzy condition monitoring</style>Drupal-Biblio10<style face="normal" font="default" size="100%">Sliding mode control of EV electric differential system</style>Drupal-Biblio10<style face="normal" font="default" size="100%">Default Diagnosis and A.I.T</style>Drupal-Biblio10<style face="normal" font="default" size="100%">Fuzzy Pattern Recognition Based Fault Diagnosis.</style>Drupal-Biblio10<style face="normal" font="default" size="100%">A loss-Minimization DTC scheme for EV Induction motors</style>Drupal-Biblio17<style face="normal" font="default" size="100%">Automatic default diagnosis for an asynchronous machine fed by a PWM converter</style>Drupal-Biblio17<style face="normal" font="default" size="100%">Adaptive fuzzy logic control for high performance PM synchronous drives</style>Drupal-Biblio17<style face="normal" font="default" size="100%">A Fuzzy rotor resistance updating scheme for an IFOC induction motor drive</style>Drupal-Biblio10<style face="normal" font="default" size="100%">A Robust hybrid current control for permanent magnet synchronous motor Drive</style>