Results 141 to 150 of about 1,549 (171)
Fault-class coverage-aligned combined training for AFDD of AHUs across multiple buildings. [PDF]
Sci RepWang S.
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Study on a Fault Diagnosis Method for Heterogeneous Chiller Units Based on Transfer Learning. [PDF]
Entropy (Basel)Feng Q +6 more
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Train-YOLO: An Efficient and Lightweight Network Model for Train Component Damage Detection. [PDF]
Sensors (Basel)Zong H, Jiang Y, Huang X.
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2005 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2005
Pneumatic systems are often found in manufacturing floors for automation and robotic systems. Early and intelligent faults detection and diagnosis (FDD) of such systems can prevent failure of devices that causes shutdown and loss of precious production time and profits. In this paper, we introduce analytical FDD for pneumatic systems.
Xiaolin Li, Imin Kao
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Pneumatic systems are often found in manufacturing floors for automation and robotic systems. Early and intelligent faults detection and diagnosis (FDD) of such systems can prevent failure of devices that causes shutdown and loss of precious production time and profits. In this paper, we introduce analytical FDD for pneumatic systems.
Xiaolin Li, Imin Kao
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A robust pattern recognition-based fault detection and diagnosis (FDD) method for chillers
HVAC&R Research, 2014A new chiller fault detection and diagnosis (FDD) method is proposed in this article. Different from conventional chiller FDD methods, this article considers the FDD problem as a typical one-class classification problem. The fault-free data are classified as the fault-free class. Data of a fault type are regarded as a fault class.
Yang Zhao +4 more
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Miniaturized sensors for intelligent system fault detection and diagnosis (FDD)
SPIE Proceedings, 2007Intelligent fault detection and diagnosis (FDD) depends on smart sensors which not only can render sensory information but also can make easy the subsequent detection and diagnosis. At the heart of every intelligent FDD system, there are sensors which work collaboratively with one another as well as the intelligent system.
Imin Kao, Kunbo Zhang
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International Journal of Refrigeration, 2011
Abstract The benefits of applying automated fault detection and diagnosis (AFDD) to chillers include less expensive repairs, timely maintenance, and shorter downtimes. This study employs feature selection (FS) techniques, such as mutual-information-based filter and genetic-algorithm-based wrapper, to help search for the important sensors in data ...
H. Han, B. Gu, T. Wang, Z.R. Li
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Abstract The benefits of applying automated fault detection and diagnosis (AFDD) to chillers include less expensive repairs, timely maintenance, and shorter downtimes. This study employs feature selection (FS) techniques, such as mutual-information-based filter and genetic-algorithm-based wrapper, to help search for the important sensors in data ...
H. Han, B. Gu, T. Wang, Z.R. Li
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From Model, Signal to Knowledge: A Data-Driven Perspective of Fault Detection and Diagnosis [PDF]
IEEE Transactions on Industrial Informatics, 2013 This review paper is to give a full picture of fault detection and diagnosis (FDD) in complex systems from the perspective of data processing. As a matter of fact, an FDD system is a data-processing system on the basis of information redundancy, in which
Zhiwei Gao, Xuewu Dai
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Fault Detection and Diagnosis (FDD) on a Knock Sensor
SAE Technical Paper Series, 2008<div class="htmlview paragraph">The purpose of this work is Fault Detection and Diagnosis (FDD) on a Knock Sensor because some of the modern petrol engines operate on the efficient four-stroke cycle, where each cylinder of the engine contains an intake and exhaust poppet valve that is operated at the appropriate time.
Alexandre Carvalho Leite +1 more
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Condition Monitoring, Fault Detection and Diagnosis (FDD) of Photovoltaic System and Its Approaches
2020Accuracy in measurements of fault is necessary for improving the reliability of PV module. This chapter provides an introduction about various techniques dedicated to identify and categorize the faults along with different types of modeling. This chapter also deals with the faults and its level of severity and can affect the working of the PV module ...
Omkar Singh +2 more
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