Tieling Zhang
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View article: Ergonomics and safety in human–collaborative robot interaction: A review of literature for manufacturing industries
Ergonomics and safety in human–collaborative robot interaction: A review of literature for manufacturing industries Open
View article: Energy Pipeline Individual Defect Growth Prediction Using In-Line-Inspection Data
Energy Pipeline Individual Defect Growth Prediction Using In-Line-Inspection Data Open
View article: Fire front path planning and tracking control of Uncrewed Aerial Vehicles using deep reinforcement learning
Fire front path planning and tracking control of Uncrewed Aerial Vehicles using deep reinforcement learning Open
View article: Metal hydride hydrogen storage risk assessment: A review
Metal hydride hydrogen storage risk assessment: A review Open
View article: Privacy-preserving federated semi-supervised learning for battery life prediction amid data scarcity
Privacy-preserving federated semi-supervised learning for battery life prediction amid data scarcity Open
View article: Trustworthy battery state of charge estimation enabled by multi-task deep learning
Trustworthy battery state of charge estimation enabled by multi-task deep learning Open
View article: Big Data Analytics in Energy Pipeline Integrity Management
Big Data Analytics in Energy Pipeline Integrity Management Open
View article: Enhanced battery life prediction with reduced data demand via semi-supervised representation learning
Enhanced battery life prediction with reduced data demand via semi-supervised representation learning Open
View article: Machine learning-based outlier detection for pipeline in-line inspection data
Machine learning-based outlier detection for pipeline in-line inspection data Open
View article: A Review of the Intelligent Condition Monitoring of Rolling Element Bearings
A Review of the Intelligent Condition Monitoring of Rolling Element Bearings Open
Bearing component damage contributes significantly to rotating machinery failures. It is vital for the rotor-bearing system to be in good condition to ensure the proper functioning of the machine. Over recent decades, extensive research ha…
View article: A Review of Intelligent Condition Monitoring of Rolling Element Bearings
A Review of Intelligent Condition Monitoring of Rolling Element Bearings Open
Bearing component damage contributes significantly to rotating machinery failures. It is vital for the rotor-bearing system to be in good condition to ensure proper functioning of the machine. Over recent decades, extensive research has be…
View article: Energy pipeline degradation condition assessment using predictive analytics – challenges, issues, and future directions
Energy pipeline degradation condition assessment using predictive analytics – challenges, issues, and future directions Open
It is of paramount importance to ensure the safe operation of energy pipelines for pipeline owners and operators. Therefore, effective condition assessment of pipelines is imperative. For this purpose, there are a great number of models de…
View article: Accurate and efficient remaining useful life prediction of batteries enabled by physics-informed machine learning
Accurate and efficient remaining useful life prediction of batteries enabled by physics-informed machine learning Open
The safe and reliable operation of lithium-ion batteries necessitates the accurate prediction of remaining useful life (RUL). However, this task is challenging due to the diverse ageing mechanisms, various operating conditions, and limited…
View article: Review of Prediction of Stress Corrosion Cracking in Gas Pipelines Using Machine Learning
Review of Prediction of Stress Corrosion Cracking in Gas Pipelines Using Machine Learning Open
Pipeline integrity and safety depend on the detection and prediction of stress corrosion cracking (SCC) and other defects. In oil and gas pipeline systems, a variety of corrosion-monitoring techniques are used. The observed data exhibit ch…
View article: Preferences of Caregivers of People with Dementia for Respite Care: A Discrete Choice Experiment
Preferences of Caregivers of People with Dementia for Respite Care: A Discrete Choice Experiment Open
Taking care of people with dementia is stressful for informal caregivers. Respite care can provide a break for them. But it is often underused, and its acceptability can be low in China. One reason is that it fails to meet their needs. Thi…
View article: Adoption of big data analytics for energy pipeline condition assessment - A systematic review
Adoption of big data analytics for energy pipeline condition assessment - A systematic review Open
Due to complexity, the oil and gas industry use various sensors to collect data for analysis to maintain the safety and integrity of pipelines and associated infrastructures. There is an enormous amount of data available to conceal crucial…
View article: Deep learning-based battery state of charge estimation: Enhancing estimation performance with unlabelled training samples
Deep learning-based battery state of charge estimation: Enhancing estimation performance with unlabelled training samples Open
The estimation of state of charge (SOC) using deep neural networks (DNN) generally requires a considerable number of labelled samples for training, which refer to the current and voltage pieces with knowing their corresponding SOCs. Howeve…
View article: A simulation-based life cycle cost model for track form selection-implementation
A simulation-based life cycle cost model for track form selection-implementation Open
This work presents the implementation details of a simulation-based model proposed in an earlier work by the authors where no implementation was covered.This model aims to support the railway industry in their decision-making on selecting …
View article: Re-Engineering The Business Process of Slickline and Electric Line Operation
Re-Engineering The Business Process of Slickline and Electric Line Operation Open
A strategy to save cost related to oil exploration process is discussed in this paper. The focus is to reduce the cost in slickline and electric line operation in order to maintain the business continuity, where this conclusion was obtaine…
View article: SFINet: Shuffle–and–Fusion Interaction Networks for Wind Power Forecasting
SFINet: Shuffle–and–Fusion Interaction Networks for Wind Power Forecasting Open
Wind energy is one of the most important renewable energy sources in the world. Accurate wind power prediction is of great significance for achieving reliable and economical power system operation and control. For this purpose, this paper …
View article: The Effect of Peer Support on Individuals with Overweight and Obesity: A Meta-Analysis
The Effect of Peer Support on Individuals with Overweight and Obesity: A Meta-Analysis Open
Background: Scarce data exists about the effect of peer support on individuals with overweight or obesity. This study aimed to conduct a meta-analysis regarding the effect of peer support on weight, BMI, waist circumference, blood pressure…
View article: Deep Learning Method for Fault Detection of Wind Turbine Converter
Deep Learning Method for Fault Detection of Wind Turbine Converter Open
The converter is an important component in wind turbine power drive-train systems, and usually, it has a higher failure rate. Therefore, detecting the potential faults for prediction of its failure has become indispensable for condition-ba…
View article: Application of big data analytics to energy pipeline corrosion management
Application of big data analytics to energy pipeline corrosion management Open
View article: Research on Fault Detection for Three Types of Wind Turbine Subsystems Using Machine Learning
Research on Fault Detection for Three Types of Wind Turbine Subsystems Using Machine Learning Open
In wind power generation, one aim of wind turbine control is to maintain it in a safe operational status while achieving cost-effective operation. The purpose of this paper is to investigate new techniques for wind turbine fault detection …
View article: Approaches to Dealing With Missing Data in Railway Asset Management
Approaches to Dealing With Missing Data in Railway Asset Management Open
The collection of reliable and high-quality data is seen as a prerequisite for effective and efficient rail infrastructure and rolling stock asset management to meet the requirements of asset owners and service providers. In this paper, th…
View article: Requirements for Big Data Adoption for Railway Asset Management
Requirements for Big Data Adoption for Railway Asset Management Open
Nowadays, huge amounts of data have been captured along with the day-to-day operation of assets including railway systems. Hence, we have come to the era of big data. The utilization of big data technologies for asset condition information…
View article: Optimization of maintenances following proof tests for the final element of a safety-instrumented system
Optimization of maintenances following proof tests for the final element of a safety-instrumented system Open
Safety-instrumented systems (SISs) have been widely installed to prevent accidental events and mitigate their consequences. Mechanical final elements of SISs often become vulnerable with time due to degradations, but the particulars in SIS…
View article: On Fault Prediction for Wind Turbine Pitch System Using Radar Chart and Support Vector Machine Approach
On Fault Prediction for Wind Turbine Pitch System Using Radar Chart and Support Vector Machine Approach Open
In order to reduce operation and maintenance cost and improve fault diagnosis and detection accuracy for wind turbines, a study on advanced methods has been carried out. The purpose of this paper is to present a new method developed using …
View article: Variable Speed Control of Wind Turbines Based on the Quasi-Continuous High-Order Sliding Mode Method
Variable Speed Control of Wind Turbines Based on the Quasi-Continuous High-Order Sliding Mode Method Open
The characteristics of wind turbine systems such as nonlinearity, uncertainty and strong coupling, as well as external interference, present great challenges in wind turbine controller design. In this paper, a quasi-continuous high-order s…
View article: The Study of Fuzzy Proportional Integral Controllers Based on Improved Particle Swarm Optimization for Permanent Magnet Direct Drive Wind Turbine Converters
The Study of Fuzzy Proportional Integral Controllers Based on Improved Particle Swarm Optimization for Permanent Magnet Direct Drive Wind Turbine Converters Open
In order to meet the requirements of high precision and fast response of permanent magnet direct drive (PMDD) wind turbines, this paper proposes a fuzzy proportional integral (PI) controller associated with a new control strategy for wind …