We propose a predictive analytics framework for dealing with imbalanced datasets. The framework provides a comprehensive comparative analysis of data-based, algorithm-bas...
Abstract:
The Internet of Things (IoT) paradigm is revolutionising the world of manufacturing into what is known as Smart Manufacturing or Industry 4.0. The main pillar in smart ma...Show MoreMetadata
Abstract:
The Internet of Things (IoT) paradigm is revolutionising the world of manufacturing into what is known as Smart Manufacturing or Industry 4.0. The main pillar in smart manufacturing looks at harnessing IoT data and leveraging machine learning (ML) to automate the prediction of faults, thus cutting maintenance time and cost and improving the product quality. However, faults in real industries are overwhelmingly outweighed by instances of good performance (faultless samples); this bias is reflected in the data captured by IoT devices. Imbalanced data limits the success of ML in predicting faults, thus presents a significant hindrance in the progress of smart manufacturing. Although various techniques have been proposed to tackle this challenge in general, this work is the first to present a framework for evaluating the effectiveness of these remedies in the context of manufacturing. We present a comprehensive comparative analysis in which we apply our proposed framework to benchmark the performance of different combinations of algorithm components using a real-world manufacturing dataset. We draw key insights into the effectiveness of each component and inter-relatedness between the dataset, the application context, and the design of the ML algorithm.
We propose a predictive analytics framework for dealing with imbalanced datasets. The framework provides a comprehensive comparative analysis of data-based, algorithm-bas...
Published in: IEEE Access ( Volume: 9)
Funding Agency:
Department of Engineering, University of Cambridge, Cambridge, U.K.
Yasmin Fathy received the M.Sc. degree in artificial intelligence (AI) from the AI Laboratory, Vrije Universiteit Brussel (VUB), Belgium, and the Ph.D. degree from the Institute of Communication Systems (ICS), University of Surrey. She was a Research Associate with the Computer Science Department, University College London (UCL). She is currently a Research Associate with the Department of Engineering, University of Cambr...Show More
Yasmin Fathy received the M.Sc. degree in artificial intelligence (AI) from the AI Laboratory, Vrije Universiteit Brussel (VUB), Belgium, and the Ph.D. degree from the Institute of Communication Systems (ICS), University of Surrey. She was a Research Associate with the Computer Science Department, University College London (UCL). She is currently a Research Associate with the Department of Engineering, University of Cambr...View more
School of Electronic Engineering and Computer Science, Queen Mary University of London, London, U.K.
Mona Jaber (Member, IEEE) received the B.E. degree in computer and communications engineering and the M.E. degree in electrical and computer engineering from the American University of Beirut, Beirut, Lebanon, in 1996 and 2014, respectively, and the Ph.D. degree from the 5G Innovation Centre, University of Surrey, in 2017. Her Ph.D. research was on 5G backhaul innovations. She was a Telecommunication Consultant in various...Show More
Mona Jaber (Member, IEEE) received the B.E. degree in computer and communications engineering and the M.E. degree in electrical and computer engineering from the American University of Beirut, Beirut, Lebanon, in 1996 and 2014, respectively, and the Ph.D. degree from the 5G Innovation Centre, University of Surrey, in 2017. Her Ph.D. research was on 5G backhaul innovations. She was a Telecommunication Consultant in various...View more
Department of Engineering, University of Cambridge, Cambridge, U.K.
Alexandra Brintrup received the Ph.D. degree from Cranfield University, Cranfield, U.K. She is currently a Lecturer in digital manufacturing with the University of Cambridge, Cambridge, U.K. She develops intelligent systems to help organizations navigate through complexity. Her main work in this area includes system development for digitized product lifecycle management. She uses artificial intelligence paradigms, particu...Show More
Alexandra Brintrup received the Ph.D. degree from Cranfield University, Cranfield, U.K. She is currently a Lecturer in digital manufacturing with the University of Cambridge, Cambridge, U.K. She develops intelligent systems to help organizations navigate through complexity. Her main work in this area includes system development for digitized product lifecycle management. She uses artificial intelligence paradigms, particu...View more
Contents Department of Engineering, University of Cambridge, Cambridge, U.K.
Yasmin Fathy received the M.Sc. degree in artificial intelligence (AI) from the AI Laboratory, Vrije Universiteit Brussel (VUB), Belgium, and the Ph.D. degree from the Institute of Communication Systems (ICS), University of Surrey. She was a Research Associate with the Computer Science Department, University College London (UCL). She is currently a Research Associate with the Department of Engineering, University of Cambridge, and a Fellow of the Higher Education Academy. Her research interests include the Internet of Things, machine learning, and data analytics.
Yasmin Fathy received the M.Sc. degree in artificial intelligence (AI) from the AI Laboratory, Vrije Universiteit Brussel (VUB), Belgium, and the Ph.D. degree from the Institute of Communication Systems (ICS), University of Surrey. She was a Research Associate with the Computer Science Department, University College London (UCL). She is currently a Research Associate with the Department of Engineering, University of Cambridge, and a Fellow of the Higher Education Academy. Her research interests include the Internet of Things, machine learning, and data analytics.View more
School of Electronic Engineering and Computer Science, Queen Mary University of London, London, U.K.
Mona Jaber (Member, IEEE) received the B.E. degree in computer and communications engineering and the M.E. degree in electrical and computer engineering from the American University of Beirut, Beirut, Lebanon, in 1996 and 2014, respectively, and the Ph.D. degree from the 5G Innovation Centre, University of Surrey, in 2017. Her Ph.D. research was on 5G backhaul innovations. She was a Telecommunication Consultant in various international firms with a focus on the radio design of cellular networks, including GSM, GPRS, UMTS, and HSPA. She was leading the IoT Research Group, Fujitsu Laboratories on Europe, from 2017 to 2019, where she focused in particular on automotive applications. She is currently a Lecturer in Internet of Things with the School of Electronic Engineering and Computer Science, Queen Mary University of London. Her research interests include cyber-physical systems, data-driven digital twins, and AI/ML applications in the automotive industry.
Mona Jaber (Member, IEEE) received the B.E. degree in computer and communications engineering and the M.E. degree in electrical and computer engineering from the American University of Beirut, Beirut, Lebanon, in 1996 and 2014, respectively, and the Ph.D. degree from the 5G Innovation Centre, University of Surrey, in 2017. Her Ph.D. research was on 5G backhaul innovations. She was a Telecommunication Consultant in various international firms with a focus on the radio design of cellular networks, including GSM, GPRS, UMTS, and HSPA. She was leading the IoT Research Group, Fujitsu Laboratories on Europe, from 2017 to 2019, where she focused in particular on automotive applications. She is currently a Lecturer in Internet of Things with the School of Electronic Engineering and Computer Science, Queen Mary University of London. Her research interests include cyber-physical systems, data-driven digital twins, and AI/ML applications in the automotive industry.View more
Department of Engineering, University of Cambridge, Cambridge, U.K.
Alexandra Brintrup received the Ph.D. degree from Cranfield University, Cranfield, U.K. She is currently a Lecturer in digital manufacturing with the University of Cambridge, Cambridge, U.K. She develops intelligent systems to help organizations navigate through complexity. Her main work in this area includes system development for digitized product lifecycle management. She uses artificial intelligence paradigms, particularly for data analytics and automated decision making. She held postdoctoral and fellowship appointments with the University of Cambridge and the University of Oxford. She teaches operations management and decision engineering. Her research interest includes the modeling, analysis, and control of dynamical and functional properties of emergent manufacturing networks.
Alexandra Brintrup received the Ph.D. degree from Cranfield University, Cranfield, U.K. She is currently a Lecturer in digital manufacturing with the University of Cambridge, Cambridge, U.K. She develops intelligent systems to help organizations navigate through complexity. Her main work in this area includes system development for digitized product lifecycle management. She uses artificial intelligence paradigms, particularly for data analytics and automated decision making. She held postdoctoral and fellowship appointments with the University of Cambridge and the University of Oxford. She teaches operations management and decision engineering. Her research interest includes the modeling, analysis, and control of dynamical and functional properties of emergent manufacturing networks.View more