Fault-diagnosis for reciprocating compressors using big data and machine learning

G Qi, Z Zhu, K Erqinhu, Y Chen, Y Chai… - … Modelling Practice and …, 2018 - Elsevier
Reciprocating compressors are widely used in petroleum industry. A small fault in
reciprocating compressor may cause serious issues in operation. Traditional regular …

A new dynamic performance model of motor stalling and FIDVR for smart grid monitoring/planning

H Zheng, CL DeMarco - IEEE Transactions on Smart Grid, 2016 - ieeexplore.ieee.org
The stalling of highly concentrated constant torque induction motor loads due to system
faults may result in fault induced delayed voltage recovery. This state can cause significantly …

A geometric dictionary learning based approach for fluorescence spectroscopy image fusion

Z Zhu, G Qi, Y Chai, P Li - Applied Sciences, 2017 - mdpi.com
In recent years, sparse representation approaches have been integrated into multi-focus
image fusion methods. The fused images of sparse-representation-based image fusion …

Frequency regulation of power systems with self-triggered control under the consideration of communication costs

Z Zhu, J Sun, G Qi, Y Chai, Y Chen - Applied sciences, 2017 - mdpi.com
In control systems of power grids, conveying observations to controllers and obtaining
control outputs depend greatly on communication and computation resources. Particularly …

Optimise transient control against DoS attacks on ESS by input convex neural networks in a game

J Sun, P Li, C Wang - Sustainable Energy, Grids and Networks, 2021 - Elsevier
For improving the transient control of power grids, an alternative fast acting feature is offered
by the vast application of energy storage systems (ESS). However, Denial of Service (DoS) …

Enhancing power system transient stability using optimal unified power flow controller based on Lyapunov control strategy

P Avaz Pour, A Lashkar Ara… - Scientia …, 2017 - scientiairanica.sharif.edu
This paper presents a new control strategy for an Optimal Uni ed Power Flow Controller
(OUPFC) through a Lyapunov energy function in terms of local parameters to improve the …

Failure probability constrained AC optimal power flow

A Subramanyam, J Roth, A Lam… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Despite cascading failures being the central cause of blackouts in power transmission
systems, existing operational and planning decisions are made largely by ignoring their …

A Stable Distributed Neural Controller for Physically Coupled Networked Discrete‐Time System via Online Reinforcement Learning

J Sun, J Li - Complexity, 2018 - Wiley Online Library
The large scale, time varying, and diversification of physically coupled networked
infrastructures such as power grid and transportation system lead to the complexity of their …

Energy function based security control and control actuator placement by sparse feedback design

J Sun, H Zheng, Y Chai, Z Zhu - 2016 35th Chinese Control …, 2016 - ieeexplore.ieee.org
This paper suggests a sparse feedback dynamic control scheme with unified power flow
controller (UPFC) to prevent transmission system overload. An transient energy function …

Transient security classification of power system using extreme learning machine

K Jothinathan, S Ganapathy - Advances in Natural and Applied …, 2016 - go.gale.com
This paper presents a novel design procedure for Transient security assessment of power
systems using Extreme Learning Machine classification technique. The objective of this …