ISA Transactions

Papers
(The H4-Index of ISA Transactions is 54. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-11-01 to 2024-11-01.)
ArticleCitations
Deep learning algorithms for rotating machinery intelligent diagnosis: An open source benchmark study360
Intelligent fault diagnosis of machines with small & imbalanced data: A state-of-the-art review and possible extensions307
A survey on attack detection, estimation and control of industrial cyber–physical systems171
Fault diagnosis of rolling bearings using an Improved Multi-Scale Convolutional Neural Network with Feature Attention mechanism138
Stationary wavelet transform based ECG signal denoising method127
Semi-supervised meta-learning networks with squeeze-and-excitation attention for few-shot fault diagnosis124
Modified multiscale weighted permutation entropy and optimized support vector machine method for rolling bearing fault diagnosis with complex signals116
A new dynamic model and transfer learning based intelligent fault diagnosis framework for rolling element bearings race faults: Solving the small sample problem111
Attention-guided joint learning CNN with noise robustness for bearing fault diagnosis and vibration signal denoising109
Intelligent fault diagnosis of hydraulic piston pump based on deep learning and Bayesian optimization105
Health indicator construction by quadratic function-based deep convolutional auto-encoder and its application into bearing RUL prediction102
Generative adversarial network in mechanical fault diagnosis under small sample: A systematic review on applications and future perspectives99
A new adaptive sliding mode controller based on the RBF neural network for an electro-hydraulic servo system99
Desired tracking of delayed quadrotor UAV under model uncertainty and wind disturbance using adaptive super-twisting terminal sliding mode control96
Coupled fractional-order sliding mode control and obstacle avoidance of a four-wheeled steerable mobile robot96
Control strategy of stable walking for a hexapod wheel-legged robot94
Enhanced chaotic JAYA algorithm for parameter estimation of photovoltaic cell/modules93
Cooperative control for cyber–physical multi-agent networked control systems with unknown false data-injection and replay cyber-attacks93
Secure consensus of multi-agent systems with redundant signal and communication interference via distributed dynamic event-triggered control85
Cascade extended state observer for active disturbance rejection control applications under measurement noise84
Adaptive variational mode decomposition and its application to multi-fault detection using mechanical vibration signals82
Consensus of second-order heterogeneous multi-agent systems with and without input saturation81
Intelligent fault diagnosis of planetary gearbox based on refined composite hierarchical fuzzy entropy and random forest80
Rolling bearing fault diagnosis based on SSA optimized self-adaptive DBN79
Evidence combination based on prospect theory for multi-sensor data fusion76
LSTM networks based on attention ordered neurons for gear remaining life prediction75
Neuro-adaptive fast integral terminal sliding mode control design with variable gain robust exact differentiator for under-actuated quadcopter UAV75
Incipient fault diagnosis of bearings based on parameter-optimized VMD and envelope spectrum weighted kurtosis index with a new sensitivity assessment threshold74
Q-learning based fault estimation and fault tolerant iterative learning control for MIMO systems74
Vibration signal fusion using improved empirical wavelet transform and variance contribution rate for weak fault detection of hydraulic pumps72
A novel mathematical morphology spectrum entropy based on scale-adaptive techniques69
A hybrid of FEM simulations and generative adversarial networks to classify faults in rotor-bearing systems67
Bidirectional deep recurrent neural networks for process fault classification67
Event-triggered adaptive finite-time tracking control for full state constraints nonlinear systems with parameter uncertainties and given transient performance67
Online cement clinker quality monitoring: A soft sensor model based on multivariate time series analysis and CNN65
Adaptive model-parameter-free fault-tolerant trajectory tracking control for autonomous underwater vehicles65
Neuroadaptive control of saturated nonlinear systems with disturbance compensation65
Selective kernel convolution deep residual network based on channel-spatial attention mechanism and feature fusion for mechanical fault diagnosis64
Effective multi-sensor data fusion for chatter detection in milling process62
Output feedback adaptive super-twisting sliding mode control of hydraulic systems with disturbance compensation62
Novel adaptive impedance control for exoskeleton robot for rehabilitation using a nonlinear time-delay disturbance observer62
Event-based asynchronous and resilient filtering for Markov jump singularly perturbed systems against deception attacks62
An eco-driving algorithm for trains through distributing energy: A Q-Learning approach62
A robust PID controller based on linear quadratic gaussian approach for improving frequency stability of power systems considering renewables61
Prescribed-time cluster lag consensus control for second-order non-linear leader-following multiagent systems61
Simultaneous fault diagnosis of wind turbine using multichannel convolutional neural networks60
Adaptive nonsingular fixed-time sliding mode control for uncertain robotic manipulators under actuator saturation58
Remaining useful life prediction techniques for electric valves based on convolution auto encoder and long short term memory57
A time series model based on hybrid-kernel least-squares support vector machine for short-term wind power forecasting57
Model-driven deep unrolling: Towards interpretable deep learning against noise attacks for intelligent fault diagnosis56
Finite-time bipartite synchronization of switched competitive neural networks with time delay via quantized control56
A novel based-performance degradation indicator RUL prediction model and its application in rolling bearing56
Fractional grey model based on non-singular exponential kernel and its application in the prediction of electronic waste precious metal content56
Model free adaptive control of the under-actuated robot manipulator with the chaotic dynamics55
A novel multivariable grey prediction model and its application in forecasting coal consumption54
Mean-optimized mode decomposition: An improved EMD approach for non-stationary signal processing54
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