Sameer Al-Dahidi

Sameer Al-Dahidi
German Jordanian University · Department of Mechanical and Maintenance Engineering

PhD

About

79
Publications
14,711
Reads
How we measure 'reads'
A 'read' is counted each time someone views a publication summary (such as the title, abstract, and list of authors), clicks on a figure, or views or downloads the full-text. Learn more
721
Citations
Citations since 2017
58 Research Items
700 Citations
2017201820192020202120222023050100150200
2017201820192020202120222023050100150200
2017201820192020202120222023050100150200
2017201820192020202120222023050100150200
Introduction
I am an Assistant Professor at the Mechanical and Maintenance Engineering Department, School of Applied Technical Sciences at German Jordanian University. My research aims to develop Artificial Intelligence (AI)-based methods for renewable energy production prediction and thermal systems as well as to build analytics and models for Prognostics and Health Management (PHM), operation, maintenance, and RAMS analysis of engineering systems.
Additional affiliations
November 2016 - November 2016
Politecnico di Milano
Position
  • Teaching assistantship
Description
  • Teaching assistantship in the continuing education course XIX Edition "Advanced methods for reliability, availability, maintainability, diagnostics and prognostics of industrial equipment" in fault detection and fault diagnostics.
July 2016 - July 2016
Eni company
Position
  • Lecturer
Description
  • I offered 16 hours of exercises sessions of the course "Maintenance: Planning, Implementation, Management" for the employees of Eni company.
June 2016 - June 2016
Politecnico di Milano
Position
  • Invited Speaker
Description
  • Invited seminar “Data-Driven Diagnostics Approaches for a Steam Turbine of a Nuclear Power Plant (NPP)” within the Master Course at Politecnico di Milano "Computational methods for Reliability, Availability and Maintenance (RAM)"
Education
January 2013 - March 2016
Politecnico di Milano
Field of study
  • Energetic and Nuclear Science and Technology
September 2010 - September 2012
CentraleSupélec
Field of study
  • Nuclear Energy, Operations and Maintenance
June 2004 - June 2006
Hashemite University
Field of study
  • Electrical Engineering

Publications

Publications (79)
Conference Paper
Full-text available
In this paper, the use of Self-Organizing Maps (SOM) for fault diagnostics is proposed. The method is tested with an artificial case study representing three failed start-up behaviors of equipment and then, applied for diagnosing faults in the motor bearings: the data have been collected from Case Western Reserve University Bearing Data Center with...
Conference Paper
Full-text available
In Condition-Based Maintenance (CBM), Fault Detection (FD) systems monitor the health state of the components and aid the operator to decide whether a maintenance intervention is necessary. A FD system is a decision-aid tool typically based on i) a reconstruction model that estimates (reconstructs) the values of measurable signals in normal conditi...
Article
A typical fault detection (FD) system comprises: (1) a model that reconstructs the values of the measured signals in normal conditions, (2) a technique for the analysis of the differences (residuals) between the measured and reconstructed values, and (3) a decision strategy for defining when the monitored situation is to be detected as anomalous, i...
Conference Paper
Full-text available
Prognostics and health management (PHM) represents a paradigm shift from legacy condition based maintenance (CBM) frameworks by expanding the potentials to accurately and robustly detect and diagnose incipient system faults. The ultimate goal of PHM is reliably predicting system failure times to allow for efficient maintenance scheduling either aut...
Article
Many countries are planning their transition to renewable-energy-powered transportation sectors. Among those are developing countries, like Jordan, which face financial burdens in the actual implementation due to their economic status. As the penetration of electric vehicles increases, more green-charging stations will be required. Therefore, to en...
Article
Full-text available
In order to satisfy increasing energy demand and mitigate global warming worldwide, the implementation of photovoltaic (PV) clean energy installations needs to become common practice. However, solar energy is known to be dependent on several random factors, including climatic and geographic conditions. Prior to promoting PV systems, an assessment s...
Article
Full-text available
Systems present dependencies among their components failure behavior, which impact their ultimate availability. Previous works addressed the optimal design of systems in relation to its cost and under given availability constraint, considering identical subsystems failure dependencies. The present paper addresses this problem in a realistic scenari...
Conference Paper
Full-text available
High systems’ reliability is crucial in competitive industrial plants. System Reliability-Redundancy Allocation (RRA) is an essential design consideration for maximizing the overall systems’ reliability under various systems’ constraints. This paper addresses the system RRAP problem by investigating two effective nature-inspired optimization techni...
Research Proposal
Full-text available
The aim of the Special Issue is to encourage researchers and practitioners to share, exchange and communicate their original and high-quality articles (original research, including new theories, methods, techniques, and applications, case studies, technical notes and systematic up-to-date reviews) in the field of safety and reliability assessment o...
Article
Full-text available
Providing essential fresh water for drinking purposes is a crucial task. Most regions worldwide have the brackish or salty bulk water, which is not suitable for drinking. An experimental water desalination system based on the humidification-dehumidification (HDH) technique is provided in this study. Solar energy was used to power the proposed HDH d...
Article
Full-text available
Parallel Machine Scheduling (PMS) is a well-known problem in modern manufacturing. It is an optimization problem aiming to schedule n jobs using m machines while fulfilling certain practical requirements, such as total tardiness. Traditional approaches, e.g., mix integer programming and Genetic Algorithm (GA), usually fail, particularly in large-si...
Article
The grid operators face challenges due to the fluctuations in the energy production from Photovoltaic (PV) power plants. Therefore, reliable prediction models are critical as they aid grid operators in optimizing operational planning and lowering operating costs. One of the most challenging components of production prediction accuracy is determinin...
Article
Full-text available
The use of biogas fuel in homogeneous charge compression ignition (HCCI) engines has been promoted recently due to the environmental advantages. However, hydrogen sulfide (H2S) forms a non-environment friendly content and biogas impurity that its removal is associated with high costs. In this study, the effect of using biogas fuel in the HCCI engin...
Article
Different techniques are utilized to overcome the problem of freshwater shortage around the world. Humidification-dehumidification technology is among the promising methods, especially when powered by cost- effective solar energy sources or when used in remote desert areas with abundant solar resources. In this study, a solar energy-powered humidif...
Chapter
Reliability analysis plays a crucial role in the design and operational process. Fault Tree Analysis (FTA), one of the reliability evaluation techniques, plays a crucial role in the design process. Fault Tree is a graphical representation of major faults or critical failures associated with a system. It uses Boolean logic and low-level event method...
Preprint
Full-text available
The current numerical simulation tools used to optimize the performance of concentrating solar thermoelectric generators are extremely time consuming, and consequently require expensive computational energies. Furthermore, they are incapable of considering the effects of diverse real-life operating conditions on the performance of the system. Addit...
Article
Full-text available
Reliability, Availability, Maintainability, and Dependability (RAMD) study of Tube-wells Integrated with Underground Pipelines (TIUP) is crucial as they are the backbone of the irrigation system. This study is carried out with an objective to perform RAMD analysis, and Failure Modes and Effects Analysis (FMEA) unified with the development of a nove...
Article
Landfills have high potency as renewable energy sources by producing biogas from organic waste degradation. Landfills biogas (LFG) can be used for power plant purposes instead of allowing it to flare to the atmosphere which contributes to the global warming. The aim of this work was to introduce and examine an optimization model for maximizing the...
Article
In this study, the free and forced vibrations of a bi-directional functionally graded porous beam are investigated. The governing equations of motion are derived by Hamilton’s principle, and the reduced temporal equation of motion with cubic and quintic nonlinear terms is obtained using the Galerkin approach. Analytical solutions for the nonlinear...
Article
A critical aspect for prognostics and health management is the prediction of the remaining useful life (RUL). The existing RUL prediction techniques for aluminum electrolytic capacitors mostly assume the operating conditions remain constant for the entire prediction timeline. In practice, the electrolytic capacitors experience large variations in o...
Article
Full-text available
The world is becoming more reliant on renewable energy sources to satisfy its growing energy demand. The primary disadvantage of such sources is their significant uncertainty in power production. As appropriate energy production planning and scheduling necessitate a solid and confident assessment of renewable power production, the necessity for dev...
Article
The availability of fresh water is essential for human being lives existence. But most of the time, it is not a naturally guaranteed and accessible option for nearly all the world's countries. As a mission to maintain the presence of freshwater, the aim of this paper is to provide and examine a new humidification-dehumidification (HDH) water desali...
Article
Full-text available
System-of-Systems (SoS) offer unprecedented potential for new types of emerging services, which significantly exceed the capabilities of the constituting systems. SoS in safety-critical domains (e.g., medical applications, smart grid, disaster recovery, defense) are prominent examples, but they have stringent real-time and reliability requirements....
Research Proposal
Full-text available
Dear Colleagues, Renewable energy sources for electric power generation have been rapidly developing. Their integration into smart power grids aims at targets of energy efficiency with low-carbon operations and energy security. Significant challenges occur in the integration of renewable energy sources at both high and low voltage levels. Addition...
Article
Full-text available
The accurate prediction of wind energy production is crucial for an affordable and reliable power supply to consumers. Prediction models are used as decision-aid tools for electric grid operators to dynamically balance the energy production provided by a pool of diverse sources in the energy mix. However, different sources of uncertainty affect the...
Article
Full-text available
Reliability, maintainability, and availability analysis of Computerized Numerical Control Machine Tools (CNCMT) is vital as they are widely used in manufacturing industries for mass production. This paper proposes a generalized framework for Time-Between-Failure (TBF) and Time-To-Repair (TTR) data analysis, integrated with Markov chains for estimat...
Article
Accuracy of solar cell model parameters is now a requirement for the manufacturing of appropriate photovoltaic models. Consequently, the methodologies of the parameters had already attracted immense interest among researchers over the years. This paper deals about the approximation of the characteristics curves of a solar cell using the Bézier curv...
Article
Renewable energy resources like biogas fuel are highly needed to overcome the increasing demands on energy and to allow more efficient power transformation. Biogas is not investigated adequately in homogenous charge compression ignition (HCCI) engines and no specific chemical kinetics were proposed for its combustion in HCCI engines. In this study,...
Article
Full-text available
In this study, the main exhaust emissions from biogas fueled homogenous charge compression ignition (HCCI) engine model were investigated using a newly proposed reaction mechanism. The study was conducted by reducing a full detailed reaction mechanism using a combined algorithm built based on the graph-based approach. The exhaust emissions were est...
Article
Full-text available
An artificial neural network (ANN) extracts knowledge from a training dataset and uses this acquired knowledge to forecast outputs for any new set of inputs. When the input/output relations are complex and highly non-linear, the ANN needs a relatively large training dataset (hundreds of data points) to capture these relations adequately. This paper...
Article
Full-text available
Multiple site damage (MSD) cracks are small fatigue cracks that may accumulate at the sides of highly loaded holes in aging aircraft structures. The presence of MSD cracks can drastically reduce the residual strength of fuselage panels. In this paper, artificial neural networks (ANN) modeling is used for predicting the residual strength of aluminum...
Conference Paper
Full-text available
The electricity grid relies on a mixture of conventional (e.g. oil and gas) and renewable (e.g. wind, solar, and geothermal) energy sources. Ensuring the reliability of electric power distribution becomes a fundamental and complex issue due to the stochasticity of the production from renewable sources and the fluctuating behaviour of energy market...
Article
Full-text available
During the last decade, system reliability optimization has been widely investigated. New strategies have been introduced recently to improve the overall system reliability, such as the standby and heterogeneous redundant components. However, the problem formulations of these strategies are more complex. This paper addresses the system reliability-...
Article
Full-text available
Accurate modelling of the fuel cell characteristics curve is essential for the simulation analysis, control management, performance evaluation, and fault detection of fuel cell power systems. However, the big challenge in fuel cell modelling is the multi-variable complexity of the characteristic curves. In this paper, we propose the implementation...
Article
Based on the Euler–Bernoulli beam theory, the natural vibration behavior of functionally graded nonuniform multiple beams has been investigated. It is assumed that the beams are joined by elastic translational springs, and the properties of the beams vary along the axial direction. The Chebyshev spectral collocation method has been used to convert...
Article
Full-text available
Power production prediction from Renewable Energy (RE) sources has been widely studied in the last decade. This is extremely important for utilities to counterpart electricity supply with consumer demands across centralized grid networks. In this context, we propose a local training strategy-based Artificial Neural Network (ANN) for predicting the...
Article
Full-text available
The use of intermittent power supplies, such as solar energy, has posed a complex conundrum when it comes to the prediction of the next days' supply. There have been several approaches developed to predict the power production using Machine Learning methods, such as Artificial Neural Networks (ANNs). In this work, we propose the use of weather vari...
Article
Full-text available
The need for an efficient power source for operating the modern industry has been rapidly increasing in the past years. Therefore, the latest renewable power sources are difficult to be predicted. The generated power is highly dependent on fluctuated factors (such as wind bearing, pressure, wind speed, and humidity of surrounding atmosphere). Thus,...
Article
Full-text available
There is no denial that renewable energy is considered to be the most cost-competitive source of clean power in many parts of the world. Saudi Arabia's vision 2030 aims at achieving the best by using different sources of renewable energy such as solar energy, wind energy, and others. The use of solar energy in particular for power generation will d...
Article
Condition monitoring (CM) in the energy industry is limited by the lack of pre-classified data about the normal and/or abnormal plant states and the continuous evolution of its operational conditions. The objective is to develop a CM model able to: (1) Detect abnormal conditions and classify the type of anomaly; (2) recognize novel plant behaviors;...
Article
Full-text available
Condition monitoring (CM) in the energy industry is limited by the lack of pre-classified data about the normal and/or abnormal plant states and the continuous evolution of its operational conditions. The objective is to develop a CM model able to: (1) Detect abnormal conditions and classify the type of anomaly; (2) recognize novel plant behaviors;...
Article
Full-text available
The capability of accurately predicting the Solar Photovoltaic (PV) power productions is crucial to effectively control and manage the electrical grid. In this regard, the objective of this work is to propose an efficient Artificial Neural Network (ANN) model in which 10 different learning algorithms (i.e., different in the way in which the adjustm...
Article
Full-text available
Fault prognostics aims at predicting the degradation of equipment for estimating the Remaining Useful Life (RUL). Traditional data-driven fault prognostic approaches face the challenge of dealing with incomplete and noisy data collected at irregular time steps, e.g. in correspondence of the occurrence of triggering events in the system. Since the v...
Conference Paper
In practice, fault prognostics has often touched with incomplete and noisy data collected at irregular time steps, e.g. in correspondence of the occurrence of triggering events in the system. Under these conditions, we investigate the possibility of predicting the Remaining Useful Life (RUL) of industrial systems using a properly tailored Echo Stat...
Article
This paper proposes a non-iterative and direct optimization method for the optimization of the output characteristics of single and double diode of cell model, including series and shunt resistances. The proposed method is based on the Lagrange Multiplier Method (LMM). Typically, the proposed method is used under necessary conditions of the optimiz...
Article
Full-text available
The use of data-driven ensemble approaches for the prediction of the solar Photovoltaic (PV) power production is promising due to their capability of handling the intermittent nature of the solar energy source. In this work, a comprehensive ensemble approach composed by optimized and diversified Artificial Neural Networks (ANNs) is proposed for imp...
Article
Full-text available
This paper proposes computational models to investigate the effects of dust and ambient temperature on the performance of a photovoltaic system built at the Hashemite University, Jordan. The system is connected on-grid with an azimuth angle of 0 • and a tilt angle of 26 •. The models have been developed employing optimized architectures of artifici...
Article
We present a novel method for concept drift detection, based on: 1) the development and continuous updating of online sequential extreme learning machines (OS-ELMs) and 2) the quantification of how much the updated models are modified by the newly collected data. The proposed method is verified on two synthetic case studies regarding different type...
Article
Full-text available
Computational Fluid Dynamics (CFD) is utilized to study entropy generation for the rarefied steady state laminar 2-D flow of air-Al2O3 nanofluid in a square cavity equipped with two solid fins at the hot wall. Such flows are of great importance in industrial applications, such as the cooling of electronic equipment and nuclear reactors. In this cur...
Preprint
Full-text available
Computational Fluid Dynamics (CFD) is utilized to study entropy generation for the rarefied steady state laminar 2-D flow of air-Al2O3 nanofluid in square cavity equipped with two solid fins at the hot wall. Such flows are of great importance in industrial applications, such cooling of the electronic equipment’s and nuclear reactors. In the current...
Article
Full-text available
Forced convection of non-Newtonian Casson fluid laminar boundary layer flow past an isothermal horizontal flat plate in non-Darcy porous media is studied using Darcy–Forchheimer–Brinkman model. Similarity variables are used to transform the boundary layer equations. The boundary layer equations are reduced into system of first-order differential eq...
Article
Full-text available
It has been shown that using fuel additives play an important role in enhancing the combustion characteristics in terms of efficiency and emissions. In addition, free piston engines have shown capable in reducing energy losses and presenting more efficient and reliable engines. In this context, the objective of the present work is to investigate th...
Article
Full-text available
The unpredictability of intermittent renewable energy (RE) sources (solar and wind) constitutes reliability challenges for utilities whose goal is to match electricity supply to consumer demands across centralized grid networks. Thus, balancing the variable and increasing power inputs from plants with intermittent energy sources becomes a fundament...
Conference Paper
In this work, we investigate the capability of two different prediction strategies, i.e., direct and recursive, in accurately multi-step ahead forecasting the wind speed. For illustration purposes, the prediction strategies are implemented within the Artificial Neural Networks (ANNs) technique. To demonstrate our results, we use real wind speed dat...
Article
When a fleet of similar Systems, Structures and Components (SSCs) is available, the use of all the available information collected on the different SSCs is expected to be beneficial for the diagnosis purpose. Although different SSCs experience different behaviours in different environmental and operational conditions, they maybe informative for the...
Conference Paper
In this work, we propose a method to predict wind energy production. The method is based on an ensemble of Artificial Neural Networks (ANNs), which receive in input weather forecast variables and predict the wind plant energy production. We investigate different strategies for aggregating the outcomes of the individual models of the ensemble and co...
Article
Full-text available
We develop a novel prognostic method for estimating the Remaining Useful Life (RUL) of industrial equipment and its uncertainty. The novelty of the work is the combined use of a fuzzy similarity method for the RUL prediction and of Belief Function Theory for uncertainty treatment. This latter allows estimating the uncertainty affecting the RUL pred...
Article
In this work, we consider the problem of predicting the remaining useful life of a piece of equipment, based on data collected from a heterogeneous fleet working under different operating conditions. When the equipment experiences variable operating conditions, individual data-driven prognostic models are not able to accurately predict the remainin...
Conference Paper
Full-text available
We consider the problem of predicting an equipment Remaining Useful Life (RUL), based on data from a fleet of similar components working under different operating conditions. Two data-driven prognostics models are considered, an Homogeneous Discrete-Time Finite-State Semi-Markov Model (HDTFSSMM) and a Fuzzy Similarity-Based (FSB) model. The predict...
Article
The availability of condition monitoring data for large fleets of similar equipment motivates the development of data-driven prognostic approaches that capitalize on the information contained in such data to estimate equipment Remaining Useful Life (RUL). A main difficulty is that the fleet of equipment typically experiences different operating con...
Thesis
Prognostics and Health Management (PHM) is a field of research and application aiming at detecting the degradation onset of industrial equipment, diagnosing its faults, predicting its failure time and proactively managing its maintenance to avoid shutdown. PHM relies on diverse sources of information collected through sensors placed on the equipmen...
Conference Paper
Full-text available
Analysis of industrial accidents occurred in the last few decades has clearly shown that taking into account human factors in maintenance is fundamental to guarantee the safety of engineering systems during all their life cycle. Thus, it is important to support operators and users of engineering systems with automatic tools for incipient fault dete...