Search Results - "Perinpanayagam, Suresh"

A review of physics-based models in prognostics: Application to gears and bearings of rotating machinery by Cubillo, Adrian, Perinpanayagam, Suresh, Esperon-Miguez, Manuel

“…Health condition monitoring for rotating machinery has been developed for many years due to its potential to reduce the cost of the maintenance operations and…”
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Digital Twin in Aerospace Industry: A Gentle Introduction by Li, Luning, Aslam, Sohaib, Wileman, Andrew, Perinpanayagam, Suresh

“…Digital twin (DT), primarily a virtual replica of any conceivable physical entity, is a highly transformative technology with profound implications. Whether it…”
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Applications of Virtual Machine Using Multi-Objective Optimization Scheduling Algorithm for Improving CPU Utilization and Energy Efficiency in Cloud Computing by Choudhary, Rajkumar, Perinpanayagam, Suresh

“…Financial costs and energy savings are considered to be more critical on average for computationally intensive workflows, as such workflows which generally…”
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Certification of machine learning algorithms for safe-life assessment of landing gear by El Mir, Haroun, Perinpanayagam, Suresh

“…This paper provides information on current certification of landing gear available for use in the aerospace industry. Moving forward, machine learning is part…”
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Real-Time Prognostics and Health Management Without Run-to-Failure Data on Railway Assets by Shimizu, Minoru, Perinpanayagam, Suresh, Namoano, Bernadin, Starr, Andrew

“…Prognosis is a challenging technology that aims to accurately predict and estimate the remaining useful life of a component or system in order to enhance its…”
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A Real-Time Fault Detection Framework Based on Unsupervised Deep Learning for Prognostics and Health Management of Railway Assets by Shimizu, Minoru, Perinpanayagam, Suresh, Namoano, Bernadin

“…Fault detection based on deep learning has been intensively investigated in the recent decade due to increasing availability of data and its ability to…”
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Physics of Failure (PoF) Based Lifetime Prediction of Power Electronics at the Printed Circuit Board Level by Wileman, Andrew, Perinpanayagam, Suresh, Aslam, Sohaib

“…This paper presents the use of physics of failure (PoF) methodology to infer fast and accurate lifetime predictions for power electronics at the printed…”
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A Component Level Digital Twin Model for Power Converter Health Monitoring by Wileman, A.J., Aslam, Sohaib, Perinpayagam, Suresh

“…The proliferation of Power Electronic Converters (PECs) has had a pervasive affect in a variety of industries including the power generation, automotive and…”
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Digital Simulation and Identification of Faults with Neural Network Reasoners in Brushed Actuators Employed in an E-Brake System by Ramesh, Gouri, Garza, Pablo, Perinpanayagam, Suresh

“…The aerospace industry is constantly looking to adopt new technologies to increase the performance of the machines and procedures they employ. In recent years,…”
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Qualitative Validation Approach Using Digital Model for the Health Management of Electromechanical Actuators by Garza, Pablo, Perinpanayagam, Suresh, Aslam, Sohaib, Wileman, Andrew

“…An efficient and all-inclusive health management encompassing condition-based maintenance (CBM) environment plays a pivotal role in enhancing the useful life…”
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Enhanced Prognostic Model for Lithium Ion Batteries Based on Particle Filter State Transition Model Modification by Arachchige, Buddhi, Perinpanayagam, Suresh, Jaras, Raul

“…This paper focuses on predicting the End of Life and End of Discharge of Lithium ion batteries using a battery capacity fade model and a battery discharge…”
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Ingress of Threshold Voltage-Triggered Hardware Trojan in the Modern FPGA Fabric-Detection Methodology and Mitigation by Aslam, Sohaib, Jennions, Ian K., Samie, Mohammad, Perinpanayagam, Suresh, Fang, Yisen

“…The ageing phenomenon of negative bias temperature instability (NBTI) continues to challenge the dynamic thermal management of modern FPGAs. Increased…”
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Real-Time Maintenance Optimization Considering Health Monitoring and Additive Manufacturing by Cubillo, Adrian, Perinpanayagam, Suresh, Esperon-Miguez, Manuel, John, Philip

“…Prognostics Health Management (PHM) and Integrated Vehicle Health Management (IVHM) are extensive areas of research. Whereas a lot of work has been done in…”
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Stochastic RUL Calculation Enhanced With TDNN-Based IGBT Failure Modeling by Alghassi, Alireza, Perinpanayagam, Suresh, Samie, Mohammad

“…Power electronics are widely used in the transport and energy sectors. Hence, the reliability of these power electronic components is critical to reducing the…”
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Computationally Efficient, Real-Time, and Embeddable Prognostic Techniques for Power Electronics by Alghassi, Alireza, Perinpanayagam, Suresh, Samie, Mohammad, Sreenuch, Tarapong

“…Power electronics are increasingly important in new generation vehicles as critical safety mechanical subsystems are being replaced with more electronic…”
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A road map for reliable power electronics for more electric aircraft by Wileman, A.J., Aslam, Sohaib, Perinpanayagam, Suresh

“…The gradual evolution from hydro-pneumatic to electrical disposition of power in aircraft has placed stringent requirements on the reliability of power…”
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Application of Artificial Intelligence-Based Technique in Electric Motors: A Review by Qiu, Wangde, Zhao, Xing, Tyrrell, Andy, Perinpanayagam, Suresh, Niu, Shuangxia, Wen, Guojun

“…Electric motors find widespread application across various industrial fields. The pursuit of enhanced comprehensive electric motors performance has…”
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Aging Detection Capability for Switch-Mode Power Converters by Mann, Jaspreet Kaur, Perinpanayagam, Suresh, Jennions, Ian

“…The detection of degradations and resulting failures in electronic components/systems is of paramount importance for complex industrial applications including…”
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Integrated vehicle health management: An approach to dealing with lifetime prediction considerations on relays by Wileman, Andrew J., Perinpanayagam, Suresh

“…Electrical contacts provide a well-proven solution to switching various loads in a wide variety of applications, such as power distribution, control…”
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(Explainable) Artificial Intelligence in Aerospace Safety-Critical Systems by Sutthithatip, Sujitra, Perinpanayagam, Suresh, Aslam, Sohaib

“…AI techniques, encompassing machine learning, have made enormous progress over the last decade with several models already implemented across various aerospace…”
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