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Qiang Cheng, Yong Cao, Zhifeng Liu, Lingli Cui, Tao Zhang and Lei Xu
The computer numerically controlled (CNC) system is the key functional component of CNC machine tool control systems, and the servo drive system is an important part of CNC systems. The complex working environment will lead to frequent failure of servo d...
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David Solís-Martín, Juan Galán-Páez and Joaquín Borrego-Díaz
The aim of predictive maintenance, within the field of prognostics and health management (PHM), is to identify and anticipate potential issues in the equipment before these become serious. The main challenge to be addressed is to assess the amount of tim...
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Ruliang Lin, Jialin Yang, Lijing Huang, Zhiwen Liu, Xuehua Zhou and Zhiguo Zhou
The reliability and safety of launch vehicle launch missions might be effectively increased thanks to the fault prediction and health management (PHM) technology of engines, which could also improve with problem diagnostics and decrease the cost of opera...
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Antonio Carlo Bertolino, Andrea De Martin, Giovanni Jacazio and Massimo Sorli
The evolution toward ?more electric? aircraft has seen a decisive push in the last decade due to growing environmental concerns and the development of new market segments (flying taxis). Such a push has involved both the propulsion components and the air...
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Lorenz Dingeldein
While the growth of unmanned aerial vehicle (UAV) usage over the next few years is indisputable, cooperative operation strategies for UAV swarms have gained great interest in the research community. Mission capabilities increase while contingencies can b...
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Tzu-Hsuan Hsu, Yuan-Jen Chang, He-Kai Hsu, Tsung-Ti Chen and Po-Wen Hwang
Landing gear is an essential part of an aircraft. However, the components of landing gear are susceptible to degradation over the life of their operation, which can result in the shimmy effect occurring during take-off and landing. In order to reduce unp...
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Magnus Gribbestad, Muhammad Umair Hassan and Ibrahim A. Hameed
Prognostics is an engineering discipline focused on predicting the time at which a system or a component will no longer perform its intended function. Due to the requirements of system safety and reliability, the correct diagnosis or prognosis of abnorma...
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Leonardo Baldo, Ivana Querques, Matteo Davide Lorenzo Dalla Vedova and Paolo Maggiore
The deployment of electro-mechanical actuators plays an important role towards the adoption of the more electric aircraft (MEA) philosophy. On the other hand, a seamless substitution of EMAs, in place of more traditional hydraulic solutions, is still set...
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Donghwan Kim, Seungchul Lee and Daeyoung Kim
As technology advances, the equipment becomes more complicated, and the importance of the Prognostics and Health Management (PHM) to monitor the condition of the equipment has risen. In recent years, various methodologies have emerged. With the developme...
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Unai Izagirre, Imanol Andonegui, Aritz Egea and Urko Zurutuza
This manuscript focuses on methodological and technological advances in the field of health assessment and predictive maintenance for industrial robots. We propose a non-intrusive methodology for industrial robot joint health assessment. Torque sensor da...
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Yufeng Huang, Jun Tao, Gang Sun, Hao Zhang and Yan Hu
In this study, a prognostics and health management (PHM) framework is proposed for aero-engines, which combines a dynamic probability (DP) model and a long short-term memory neural network (LSTM). A DP model based on Gaussian mixture model-adaptive densi...
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Alireza Namdari, Maryam Asad Samani and Tariq S. Durrani
Lithium-ion is a progressive battery technology that has been used in vastly different electrical systems. Failure of the battery can lead to failure in the entire system where the battery is embedded and cause irreversible damage. To avoid probable dama...
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Vasily Bogoyavlensky, Igor Bogoyavlensky, Roman Nikonov, Tatiana Kargina, Evgeny Chuvilin, Boris Bukhanov and Andrey Umnikov
This article describes the results of an Arctic expedition studying the new giant gas blowout crater in the north of Western Siberia, in the central part of the Yamal Peninsula in 2020. It was named C17 in the geoinformation system ?Arctic and the World ...
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Meng Ma, Zhirong Zhong, Zhi Zhai and Ruobin Sun
There are hundreds of various sensors used for online Prognosis and Health Management (PHM) of LREs. Inspired by the fact that a limited number of key sensors are selected for inflight control purposes in LRE, it is practical to optimal placement of redu...
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Francesca Calabrese, Alberto Regattieri, Raffaele Piscitelli, Marco Bortolini and Francesco Gabriele Galizia
Extracting representative feature sets from raw signals is crucial in Prognostics and Health Management (PHM) for components? behavior understanding. The literature proposes various methods, including signal processing in the time, frequency, and time?fr...
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Phattara Khumprom, David Grewell and Nita Yodo
Predicting Remaining Useful Life (RUL) of systems has played an important role in various fields of reliability engineering analysis, including in aircraft engines. RUL prediction is critically an important part of Prognostics and Health Management (PHM)...
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Nesrine Touafek, Fatima Benbouzid-Si Tayeb and Asma Ladj
In the last decades, the availability constraint as well as learning and deteriorating effects were introduced into the production scheduling theory to simulate real-world case studies and to overcome the limitation of the classical models. To the best o...
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Xin Wang, Yi Li, Yaxi Xu, Xiaodong Liu, Tao Zheng and Bo Zheng
Data-driven Remaining Useful Life (RUL) prediction is one of the core technologies of Prognostics and Health Management (PHM). Committed to improving the accuracy of RUL prediction for aero-engines, this paper proposes a model that is entirely based on t...
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Bing Long, Kunping Wu, Pengcheng Li and Meng Li
The remaining useful life (RUL) prediction for hydrogen fuel cells is an important part of its prognostics and health management (PHM). Artificial neural networks (ANNs) are proven to be very effective in RUL prediction, as they do not need to understand...
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Raúl Llasag Rosero, Catarina Silva and Bernardete Ribeiro
Predictive Maintenance (PM) strategies have gained interest in the aviation industry to reduce maintenance costs and Aircraft On Ground (AOG) time. Taking advantage of condition monitoring data from aircraft systems, Prognostics and Health Maintenance (P...
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