[1]
|
Extreme learning machine – radial basis function (ELM-RBF) networks for diagnosing faults in a steam turbine
Journal of Industrial and Production Engineering,
2022
DOI:10.1080/21681015.2021.1887948
|
|
|
[2]
|
Development Of Predictive Maintenance Methodology Utilizing Machine Learning Technology To Support Plant Health Management
2019 International Conference on Technologies and Policies in Electric Power & Energy,
2019
DOI:10.1109/IEEECONF48524.2019.9102605
|
|
|
[3]
|
Neural network based system for detecting and diagnosing faults in steam turbine of thermal power plant
2017 IEEE 8th International Conference on Awareness Science and Technology (iCAST),
2017
DOI:10.1109/ICAwST.2017.8256435
|
|
|
[4]
|
An Effective Fault Feature Extraction Method for Gas Turbine Generator System Diagnosis
Shock and Vibration,
2016
DOI:10.1155/2016/9359426
|
|
|
[5]
|
A Survey of Fault Diagnosis and Fault-Tolerant Techniques Part II: Fault Diagnosis with Knowledge-Based and Hybrid/Active Approaches
IEEE Transactions on Industrial Electronics,
2015
DOI:10.1109/TIE.2015.2419013
|
|
|
[6]
|
Implementation of VLSI model as a tool in diagnostics of slowly varying process parameters which affect the performance of steam turbine
Applied Soft Computing,
2014
DOI:10.1016/j.asoc.2014.08.015
|
|
|
[7]
|
Real-time fault diagnosis for gas turbine generator systems using extreme learning machine
Neurocomputing,
2014
DOI:10.1016/j.neucom.2013.03.059
|
|
|
[8]
|
Simultaneous-Fault Diagnosis of Gas Turbine Generator Systems Using a Pairwise-Coupled Probabilistic Classifier
Mathematical Problems in Engineering,
2013
DOI:10.1155/2013/827128
|
|
|
[9]
|
Effects of Bioethanol-Blended Diesel Fuel on Combustion and Emission Reduction Characteristics in a Direct-Injection Diesel Engine with Exhaust Gas Recirculation (EGR)
Energy & Fuels,
2010
DOI:10.1021/ef100233b
|
|
|