Results 11 to 20 of about 36,327 (304)
Advances in Applied Energy, 2021 Sensors are the key information source for fault detection and diagnostics (FDD) in buildings. However, sensors are often not properly designed, installed, calibrated, located, and maintained, which negatively impacts FDD performance.
Liang Zhang +9 more
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Online Forecasting and Anomaly Detection Based on the ARIMA Model
Applied Sciences, 2021 Real-time diagnostics of complex technical systems such as power plants are critical to keep the system in its working state. An ideal diagnostic system must detect any fault in advance and predict the future state of the technical system, so predictive ...
Viacheslav Kozitsin +2 more
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Chinese Journal of Mechanical Engineering, 2021 Supervised fault diagnosis typically assumes that all the types of machinery failures are known. However, in practice unknown types of defect, i.e., novelties, may occur, whose detection is a challenging task.
Zhe Yang +5 more
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Aircraft Engine Performance Monitoring and Diagnostics Based on Deep Convolutional Neural Networks
Machines, 2021 The rapid advancement of machine-learning techniques has played a significant role in the evolution of engine health management technology. In the last decade, deep-learning methods have received a great deal of attention in many application domains ...
Amare Desalegn Fentaye +2 more
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HIERARCHICAL DIAGNOSTIC MODEL SYNTHESIS FOR DATAFLOW REAL-TIME COMPUTING SYSTEM [PDF]
Научно-технический вестник информационных технологий, механики и оптики, 2020 Subject of Research. The paper considers design issues for diagnostic tools of fault detection in addressing information exchanges between software modules for real-time dataflow computing systems.
Egor V. Lukoyanov +1 more
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Fault mode detection of a hybrid electric vehicle by using support vector machine
Energy Reports, 2023 Hybrid electric vehicle (HEV) is one of the ideal transportation tools to face the challenge of ‘Carbon peak carbon neutralization’. The high complexity of the latest HEVs result to the difficulties in vehicle fault diagnostics, which is considered to be
Fanshuo Liu +4 more
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5G-Enabled Fault Detection and Diagnostics: How Do We Achieve Efficiency? [PDF]
IEEE Internet of Things Journal, 2020 The 5th-generation wireless networks (5G) technologies and mobile edge computing (MEC) provide great promises of enabling new capabilities for the industrial Internet of Things. However, the solutions enabled by the 5G ultra-reliable low-latency communication (URLLC) paradigm come with challenges, where URLLC alone does not necessarily guarantee the ...
Hu, Peng, Zhang, Jinhuan
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The advanced eccentricity and broken cage diagnostic method for medium voltage induction motors [PDF]
Zbornik Radova: Elektrotehnički Institut "Nikola Tesla", 2012 In the paper the comparative diagnostics of medium voltage induction motors has been presented. The methods employed are the motor current signature analysis (MCSA) and the axial leakage flux spectral analysis.
Janda Žarko +3 more
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Log mining and knowledge-based models in data storage systems diagnostics [PDF]
E3S Web of Conferences, 2019 Modern data storage systems have a sophisticated hardware and software architecture, including multiple storage processors, storage fabrics, network equipment and storage media and contain information, which can be damaged or lost because of hardware or ...
Uspenskij Mikhail B.
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Novelty detection based on extensions of GMMs for industrial gas turbines [PDF]
, 2015 The paper applies the application of Gaussian mixture models (GMMs) for operational pattern discrimination and novelty/fault detection for an industrial gas turbine (IGT). Variational Bayesian GMM (VBGMM) is used to automatically cluster operational data
Bingham, Chris +3 more
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