ORCID Profile
0000-0003-2649-3942
Current Organisation
Queensland University of Technology
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Research Topics
In Research Link Australia (RLA), "Research Topics" refer to ANZSRC FOR and SEO codes. These topics are either sourced from ANZSRC FOR and SEO codes listed in researchers' related grants or generated by a large language model (LLM) based on their publications.
Top 5 Research Topics
ANZSRC Field of Research (FoR)
Geospatial Information Systems | Operations Research | Mechanical engineering | Dynamics, Vibration and Vibration Control | Manufacturing Engineering | Manufacturing Management | Manufacturing Processes and Technologies (excl. Textiles) | Geomechanics and Resources Geotechnical Engineering | Infrastructure Engineering and Asset Management | Resources Engineering and Extractive Metallurgy | Structural Engineering | Civil Engineering | Mechanical Engineering not elsewhere classified | Tribology | Mechanical engineering asset management | Dynamics vibration and vibration control
ANZSRC Socio-Economic Objective (SEO)
Mining and Extraction of Energy Resources not elsewhere classified | Civil Construction Planning | Agricultural Machinery and Equipment | Rail Infrastructure and Networks | Sugar and Confectionery Products |
Related Links
Publications
Building energy optimization using surrogate model and active sampling
Publisher: Informa UK Limited
Date: 04-10-2020
A multi-sensor approach to remaining useful life estimation for a slurry pump
Publisher: Elsevier BV
Date: 06-2019
A decision support framework for prioritization of engineering asset management activities under uncertainty
Publisher: Springer International Publishing
Date: 2015
Investigation of Sound Inducing Fluid Dynamics at Pipe Leak and It's Influence on Acoustic Emission Signals
Publisher: The University of Queensland
Date: 11-12-2020
DOI: 10.14264/4CE35F0
Extracting failure time data from industrial maintenance records using text mining
Publisher: Elsevier BV
Date: 08-2017
Condition-based inspection policies for boiler heat exchangers
Publisher: Elsevier BV
Date: 05-2021
Using support vector machines for the computationally efficient identification of acceptable design parameters in computer-aided engineering applications
Publisher: Elsevier BV
Date: 09-2017
Opportunistic maintenance for wind turbines considering external opportunities - A case study
Publisher: Springer International Publishing
Date: 2018
Real-Time Joint Estimation of Traffic States and Parameters Using Cell Transmission Model and Considering Capacity Drop
Publisher: IEEE
Date: 11-2018
Ecological and safe driving: A model predictive control approach considering spatial and temporal constraints
Publisher: Elsevier BV
Date: 02-2019
Potentials of condition based monitoring in semiconductor manufacturing
Publisher: IEEE
Date: 05-2012
Model-predictive control and closed-loop stability considerations for nonlinear plants described by local ARX-type models
Publisher: American Society of Mechanical Engineers
Date: 21-10-2013
Abstract: In this paper, a model-predictive control (MPC) method is detailed for the control of nonlinear systems with stability considerations. It will be assumed that the plant is described by a local input/output ARX-type model, with the control potentially included in the premise variables, which enables the control of systems that are nonlinear in both the state and control input. Additionally, for the case of set point regulation, a suboptimal controller is derived which has the dual purpose of ensuring stability and enabling finite-iteration termination of the iterative procedure used to solve the nonlinear optimization problem that is used to determine the control signal.
Battery Dispatching for End Users With On-Site Renewables and Peak Demand Charges--An Approximate Dynamic Programming Approach
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 09-2021
Preface
Publisher: Springer International Publishing
Date: 2019
Reliability modelling for electricity transmission networks using maintenance records
Publisher: Springer International Publishing
Date: 2016
Degradation modeling and monitoring of machines using operation-specific hidden Markov models
Publisher: Informa UK Limited
Date: 27-06-2014
Development and experimental validation of a physical model for the soiling of mirrors for CSP industry applications
Publisher: Elsevier BV
Date: 10-2018
A Data Fusion Approach of Multiple Maintenance Data Sources for Real-World Reliability Modelling
Publisher: Springer International Publishing
Date: 2016
Special issue: Data-driven risk analysis
Publisher: Elsevier BV
Date: 06-2021
Combined optimization of continuous wind turbine placement and variable hub height
Publisher: Elsevier BV
Date: 09-2018
Dynamic thermal analysis and creep-fatigue lifetime assessment of solar tower external receivers
Publisher: Elsevier BV
Date: 11-2022
A computationally-efficient layout optimization method for real wind farms considering altitude variations
Publisher: Elsevier BV
Date: 08-2017
Variability and associated uncertainty in image analysis for soiling characterization in solar energy systems
Publisher: Elsevier BV
Date: 08-2023
Degradation modelling and lifetime assessment for boiler waterwall with incomplete inspection data
Publisher: Elsevier BV
Date: 05-2023
Modelling the soiling of heliostats: Assessment of the optical efficiency and impact of cleaning operations
Publisher: AIP Publishing
Date: 2019
DOI: 10.1063/1.5117555
A quantitative study on the impact of opportunistic maintenance in the presence of time-varying costs
Publisher: IEEE
Date: 12-2016
Multi-layer PCM solidification in a finned triplex tube considering natural convection
Publisher: Elsevier BV
Date: 08-2017
Optimal Vehicle Trajectory Planning With Control Constraints and Recursive Implementation for Automated On-Ramp Merging
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 09-2019
Bi-objective optimization of sectorial cleaning policy for the solar fields of concentrating solar tower plants
Publisher: AIP Publishing
Date: 2022
DOI: 10.1063/5.0085664
Condition-Based Inspection Grouping Policy for Boiler Heat Exchanger Tubes
Publisher: Springer International Publishing
Date: 2022
Condition monitoring and operational decision making in semiconductor manufacturing
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 11-2013
Optimal inspections and maintenance planning for anti-corrosion coating failure on ships using non-homogeneous Poisson Processes
Publisher: Elsevier BV
Date: 10-2021
Railway Track Geometry Degradation Modelling and Prediction for Maintenance Decision Support
Publisher: Springer International Publishing
Date: 2022
A daylight-oriented multi-objective optimisation of complex fenestration systems
Publisher: Elsevier BV
Date: 06-2021
Comparative study of discretization method and Monte Carlo method for wind farm layout optimization under Weibull distribution
Publisher: Elsevier BV
Date: 09-2018
Benefit Assessment of New Ecological and Safe driving Algorithm using Naturalistic Driving Data
Publisher: IEEE
Date: 06-2018
Object-oriented modelling of an external receiver for solar tower application: Dynamic simulation and impact of soiling
Publisher: AIP Publishing
Date: 2020
DOI: 10.1063/5.0028515
A heuristic approach for scheduling patient treatment in an emergency department based on bed blocking
Publisher: Growing Science
Date: 2020
Stochastic soiling loss models for heliostats in Concentrating Solar Power plants
Publisher: Elsevier BV
Date: 10-2023
Heliostat-field soiling predictions and cleaning resource optimization for solar tower plants
Publisher: Elsevier BV
Date: 12-2023
Including network level safety measures in eco-routing
Publisher: Informa UK Limited
Date: 09-10-2022
Optimization of cleaning strategies for heliostat fields in solar tower plants
Publisher: Elsevier BV
Date: 07-2020
A state-constrained optimal control based trajectory planning strategy for cooperative freeway mainline facilitating and on-ramp merging maneuvers under congested traffic
Publisher: Elsevier BV
Date: 12-2019
Soiling of solar collectors – Modelling approaches for airborne dust and its interactions with surfaces
Publisher: Elsevier BV
Date: 2018
Optimization of condition‐based maintenance considering partial opportunities
Publisher: Wiley
Date: 18-12-2020
DOI: 10.1002/QRE.2585
Monitoring of complex systems of interacting dynamic systems
Publisher: Springer Science and Business Media LLC
Date: 13-08-2012
Energy Efficient and Safe Control Strategy for Electric Vehicles Including Driver Preference
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2021
A Case Study on the Replacement Policy for a Pan System of Sugar Industry
Publisher: IEEE
Date: 12-2019
STATER: Slit-Based Trajectory Reconstruction for Dense Urban Network With Overlapping Bluetooth Scanning Zones
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 07-2022
A Mode Switching Extended Kalman Filter for Real-Time Traffic State and Parameter Estimation
Publisher: IEEE
Date: 20-09-2020
Dynamic thermal analysis of an external cylindrical receiver in an object-oriented modelling paradigm
Publisher: AIP Publishing
Date: 2022
DOI: 10.1063/5.0085650
Effectiveness of optimized control strategy and different hub height turbines on a real wind farm optimization
Publisher: Elsevier BV
Date: 10-2018
CFStrace: An evaluation method to include complex fenestration systems in the façade design process
Publisher: Elsevier BV
Date: 03-2021
Joint planning of inspection, replacement, and component decommissioning for a series system with non-identically degrading components
Publisher: Elsevier BV
Date: 2024
Energy efficiency and tracking performance evaluation for dual-mode model predictive control of HVAC systems
Publisher: ASME International
Date: 22-06-2018
DOI: 10.1115/1.4040281
Abstract: This paper presents evaluation of the energy consumption and tracking performance associated with the use of a recently introduced dual-mode model predictive controller (DMMPC) for control of a heating, ventilation, and air conditioning (HVAC) system. The study was conducted using detailed simulations of an HVAC system, which included a multizone air loop, a water loop, and a chiller. Energy consumption and tracking performance are computed from the simulations and evaluated in the presence of different types and magnitudes of noise and disturbances. Performance of the DMMPC is compared with a baseline proportional-integral-derivative (PID) control structure commonly used for HVAC system control, and this comparison showed clear and consistent superiority of the DMMPC.
Model-predictive control for dispatch planning of concentrating solar power plants under real-time spot electricity prices
Publisher: Elsevier BV
Date: 12-2022
The Value of Business Process Management to Understand Complex Asset Management Processes
Publisher: Springer International Publishing
Date: 2022
Making optimal and justifiable asset maintenance decisions
Publisher: Springer International Publishing
Date: 30-11-2015
Evaluation of reflectance measurement techniques for artificially soiled solar reflectors: Experimental campaign and model assessment
Publisher: Elsevier BV
Date: 10-2021
HelioCon: A roadmap for advanced heliostat technologies for concentrating solar power
Publisher: Elsevier BV
Date: 11-2023
Building energy optimisation under uncertainty using ACOMV algorithm
Publisher: Elsevier BV
Date: 05-2018
Future energy-optimised buildings — Addressing the impact of climate change on buildings
Publisher: Elsevier BV
Date: 2021
Optimal Utilization of Community Battery Energy Storage with differential Battery Tariffs
Publisher: IEEE
Date: 17-07-2022
A dual-mode model predictive control algorithm trajectory tracking in discrete-time nonlinear dynamic systems
Publisher: ASME International
Date: 09-02-2017
DOI: 10.1115/1.4035096
Abstract: In this paper, a dual-mode model predictive/linear control method is presented, which extends the concept of dual-mode model predictive control (MPC) to trajectory tracking control of nonlinear dynamic systems described by discrete-time state-space models. The dual-mode controller comprises of a time-varying linear control law, implemented when the states lie within a sufficiently small neighborhood of the reference trajectory, and a model predictive control strategy driving the system toward that neighborhood. The boundary of this neighborhood is characterized so as to ensure stability of the closed-loop system and terminate the optimization procedure in a finite number of iterations, without jeopardizing the stability of the closed-loop system. The developed controller is applied to the central air handling unit (AHU) of a two-zone variable air volume (VAV) heating, ventilation, and air conditioning (HVAC) system.
A multi-dimension clustering-based method for renewable energy investment planning
Publisher: Elsevier BV
Date: 07-2021
An investigation on factors influencing dust accumulation on CSP mirrors
Publisher: Author(s)
Date: 2016
DOI: 10.1063/1.4949171
Ant colony algorithm for building energy optimisation problems and comparison with benchmark algorithms
Publisher: Elsevier BV
Date: 11-2017
Sectorial reflectance-based cleaning policy of heliostats for Solar Tower power plants
Publisher: Elsevier BV
Date: 04-2020
Study of Acoustic Emission Response to Vortex Shedding of a Bluff Body
Publisher: Springer Singapore
Date: 2021
SolarReceiver2D: a Modelica Package for Dynamic Thermal Modelling of Central Receiver Systems
Publisher: Elsevier BV
Date: 2022
Automated On-Ramp Merging and Gap Development with Speed Constraints – A State-Constrained Optimal Control Approach
Publisher: IEEE
Date: 06-2018
Precedent-free fault isolation in a diesel engine EGR valve system
Publisher: ASMEDC
Date: 2010
Abstract: In this paper, a framework for isolating unprecedented faults for an EGR valve system is presented. Using normal behavior data generated by a high fidelity engine simulation, the recently introduced Growing Structure Multiple Model System (GSMMS) is used to construct models of normal behavior for an EGR valve system and its various subsystems. Using the GSMMS models as a foundation, anomalous behavior of the entire system is then detected as statistically significant departures of the most recent modeling residuals from the modeling residuals during normal behavior. By reconnecting anomaly detectors to the constituent subsystems, the anomaly can be isolated without the need for prior training using faulty data. Furthermore, faults that were previously encountered (and modeled) are recognized using the same approach as the anomaly detectors.
Design optimization method for tube and fin latent heat thermal energy storage systems
Publisher: Elsevier BV
Date: 09-2017
Calculation of the expected number of failures for a repairable asset system
Publisher: Springer International Publishing
Date: 30-11-2015
Degradation modeling and condition-based maintenance of boiler heat exchangers using gamma processes
Publisher: Elsevier BV
Date: 03-2019
Predicting maintenance requirements for school assets in queensland
Publisher: Springer International Publishing
Date: 04-10-2017
Optimizing the Unrestricted Wind Turbine Placements with Different Turbine Hub Heights
Publisher: Springer International Publishing
Date: 04-10-2017
Using statistical analysis to understand creep modelling error and the ramifications for Solar Tower receivers
Publisher: Elsevier BV
Date: 08-2023
MPC based Community Battery System to minimize the Energy Cost of a Residential Community
Publisher: IEEE
Date: 16-07-2023
Comparison of the effectiveness of analytical wake models for wind farm with constant and variable hub heights
Publisher: Elsevier BV
Date: 09-2016
Opportunistic maintenance considering non-homogenous opportunity arrivals and stochastic opportunity durations
Publisher: Elsevier BV
Date: 04-2017
Optimization of wind farm layout with complex land divisions
Publisher: Elsevier BV
Date: 05-2017
Optimal condition-based cleaning of solar power collectors
Publisher: Elsevier BV
Date: 11-2017
In-situ reflectivity monitoring of heliostats using calibration cameras
Publisher: AIP Publishing
Date: 2019
DOI: 10.1063/1.5117574
Precedent-free fault isolation in a diesel engine exhaust gas recirculation system
Publisher: ASME International
Date: 27-03-2012
DOI: 10.1115/1.4005511
Abstract: In this paper, a recently introduced model-based method for precedent-free fault detection and isolation (FDI) is modified to deal with multiple input, multiple output (MIMO) systems and is applied to an automotive engine with exhaust gas recirculation (EGR) system. Using normal behavior data generated by a high fidelity engine simulation, the growing structure multiple model system (GSMMS) approach is used to construct dynamic models of normal behavior for the EGR system and its constituent subsystems. Using the GSMMS models as a foundation, anomalous behavior is detected whenever statistically significant departures of the most recent modeling residuals away from the modeling residuals displayed during normal behavior are observed. By reconnecting the anomaly detectors (ADs) to the constituent subsystems, EGR valve, cooler, and valve controller faults are isolated without the need for prior training using data corresponding to particular faulty system behaviors.
Related Organisations
Related Funding Activities
Linkage Projects - Grant ID: LP200100382
Start Date: 06-2021
End Date: 12-2024
Amount: $302,000.00
Funder: Australian Research Council
View Funded ActivityLinkage Projects - Grant ID: LP150100545
Start Date: 02-2016
End Date: 11-2018
Amount: $150,000.00
Funder: Australian Research Council
View Funded ActivityIndustrial Transformation Research Hubs - Grant ID: IH210100048
Start Date: 07-2022
End Date: 07-2027
Amount: $4,980,000.00
Funder: Australian Research Council
View Funded ActivityLinkage Projects - Grant ID: LP220200934
Start Date: 04-2024
End Date: 03-2027
Amount: $406,838.00
Funder: Australian Research Council
View Funded Activity