Z. Skaf

发表

A machine learning-based clustering approach to diagnose multi-component degradation of aircraft fuel systems

Haochen Liu, Yifan Zhao, Anna Zaporowska, 2021, Neural Computing and Applications.

An adaptive PI controller for non-Gaussian stochastic systems

Hong Wang, Z. Skaf, A. Al-Bayati, 2010, 2010 8th World Congress on Intelligent Control and Automation.

A comparative study of nonlinear observers applied to a DC servo motor

Hong Wang, Zakwan Skaf, Ahmad Hussain Al-Bayati, 2010, 2010 8th World Congress on Intelligent Control and Automation.

COMPARISION OF CONTROL DESIGN TECHNIQUES FOR A NUCLEAR REACTOR

Hong Wang, Z. Skaf, 2008 .

A clustering approach to detect faults with multi-component degradations in aircraft fuel systems

Yifan Zhao, Haochen Liu, Anna Zaporowska, 2020 .

Knowledge management yesterday and tomorrow: exploring an ‘Intellectual Paradox’

Z. Skaf, I. Jennions, Alexslis Maindze, 2017 .

The State of the Art in Selective Catalytic Reduction Control

Thomas Steffen, Zakwan Skaf, Leo Shead, 2014 .

A rare failure detection model for aircraft predictive maintenance using a deep hybrid learning approach

Maren David Dangut, Z. Skaf, I. Jennions, 2022, Neural Computing and Applications.

Reliable controller design for a class of nonlinear systems

Zakwan Skaf, Z. Skaf, 2011 .

The application of reasoning to aerospace Integrated Vehicle Health Management (IVHM): Challenges and opportunities

Ian K. Jennions, Zakwan Skaf, Cordelia Mattuvarkuzhali Ezhilarasu, 2019, Progress in Aerospace Sciences.

Understanding the role of a Digital Twin in Integrated Vehicle Health Management (IVHM)*

Zakwan Skaf, Cordelia Mattuvarkuzhali Ezhilarasu, Ian K Jennions, 2019, 2019 IEEE International Conference on Systems, Man and Cybernetics (SMC).

Handling imbalanced data for aircraft predictive maintenance using the BACHE algorithm

Maren David Dangut, Z. Skaf, I. Jennions, 2022, Appl. Soft Comput..

A Rest Time-Based Prognostic Framework for State of Health Estimation of Lithium-Ion Batteries with Regeneration Phenomena

Zakwan Skaf, Shengkui Zeng, Jianbin Guo, 2016 .

Application of deep reinforcement learning for extremely rare failure prediction in aircraft maintenance

Maren David Dangut, Z. Skaf, I. Jennions, 2022, Mechanical Systems and Signal Processing.

Comparison of different classification algorithms for fault detection and fault isolation in complex systems

Octavian Niculita, Zakwan Skaf, Marcel Jung, 2018 .

Electricity Consumption Forecasting based on Machine Learning Techniques

Z. Skaf, H. Abdulmouti, Abdulla Alshareif, 2023, 2023 Advances in Science and Engineering Technology International Conferences (ASET).

An integrated machine learning model for aircraft components rare failure prognostics with log-based dataset.

Zakwan Skaf, Maren David Dangut, Ian K Jennions, 2020, ISA transactions.

System component degradation: filter clogging in a UAV fuel system

Z. Skaf, I. Jennions, O. Eker, 2017 .

New Application of Data Analysis Using Aircraft Fault Record Data

Chang-Hun Lee, Antonios Tsourdos, Hyo-Sang Shin, 2018 .

A comparative study of linear observers applied to a DC servo motor

Zakwan Skaf, Ahmad Hussain Al-Bayati, Z. Skaf, 2010, Proceedings of the 2010 International Conference on Modelling, Identification and Control.

Towards an Enhanced Data- and Knowledge Management Capability: A Data Life Cycle Model Proposition for Integrated Vehicle Health Management

Ian K. Jennions, Zakwan Skaf, Alexslis Maindze, 2019, Annual Conference of the PHM Society.

State of Health Estimation of Li-ion Batteries with Regeneration Phenomena: A Similar Rest Time-Based Prognostic Framework

Zakwan Skaf, Shengkui Zeng, Jianbin Guo, 2016, Symmetry.

Survey of Flight Anomaly Detection Methods: Challenges and Opportunities

Ian K. Jennions, Zakwan Skaf, Vivian Rowoli Igenewari, 2019, Annual Conference of the PHM Society.

Iterative fault tolerant control based on Stochastic Distribution

Zakwan Skaf, Hong Wang, Aiping Wang, 2011, IEEE Conference on Decision and Control and European Control Conference.

Fault detection and diagnosis for general discrete-time stochastic systems using output probability density estimation

Zakwan Skaf, Hong Wang, Ahmad Al-Bayati, 2011, IEEE Conference on Decision and Control and European Control Conference.

Minimum entropy approach for robot manipulator

Zakwan Skaf, Hong Wang, Ahmad Al-Bayati, 2011, IEEE Conference on Decision and Control and European Control Conference.

Iterative Fault Tolerant Control for General Discrete-Time Stochastic Systems Using Output Probability Density Estimation

Zakwan Skaf, Z. Skaf, 2013 .

Rescaled-LSTM for Predicting Aircraft Component Replacement Under Imbalanced Dataset Constraint

Ian Jennions, Maren David Dangut, Zakwan Skaf, 2020, 2020 Advances in Science and Engineering Technology International Conferences (ASET).