Results 201 to 210 of about 4,233 (262)

Detecting and diagnosing faults in autonomous robot swarms with an artificial antibody population model. [PDF]

R Soc Open Sci
O'Keeffe J.
europepmc   +1 more source

Vibration and acoustic data of pitch bearing in wind turbines under time-varying load for fault diagnosis. [PDF]

Data Brief
Guo Y, He J, Pu J, Wang M, Jiao B, Zhang D, Meng L, Jiang E.   +7 more
europepmc   +1 more source

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Fault feature selection for the identification of compound gear-bearing faults using firefly algorithm

International Journal of Advanced Manufacturing Technology, 2023
Andrews Athisayam
exaly   +2 more sources

A COMPOUNDING ALGORITHM FOR 1-FAULT TOLERANT BROADCAST NETWORKS [PDF]

Asia-Pacific Journal of Operational Research, 2007
This theoretical paper presents a new construction algorithm for sparse 1-fault tolerant minimal broadcast networks (1-FTMBNs). To construct a large 1-FTMBN with the algorithm, identical nodes in copies of a broadcast network that is not fault tolerant are connected according to the edge structures of two known 1-FTMBNs with a special property.
BRIAN Q. RIEKSTS, JOSÉ A. VENTURA
openaire   +2 more sources

Zero-shot learning for compound fault diagnosis of bearings

Expert Systems with Applications, 2022
Abstract Due to the concurrency and coupling of various types of faults, and the number of possible fault modes grows exponentially, thereby compound fault diagnosis is a difficult problem in bearing fault diagnosis. The existing deep learning models can extract fault features when there are a large number of labeled compound fault samples.
Juan Xu 0002, Long Zhou, Weihua Zhao, Yuqi Fan 0001, Xu Ding 0001, Xiaohui Yuan 0001   +5 more
openaire   +1 more source

Zero-shot learning compound fault diagnosis of bearings

2021 International Joint Conference on Neural Networks (IJCNN), 2021
The compound fault signal of bearings is coupled and complex, thereby compound fault diagnosis is a difficult problem in bearing fault diagnosis. The existing deep learning models can extract fault features when there are a large number of labeled compound fault samples.
Juan Xu 0002, Long Zhou, Weihua Zhao, Yuqi Fan 0001, Xu Ding 0001   +4 more
openaire   +1 more source

A Transferable Capsule Network for Decoupling Compound Fault of Machinery

2020 IEEE International Instrumentation and Measurement Technology Conference (I2MTC), 2020
As advanced measurement technologies and new generation industry intelligence develops rapidly, the methods based on machine learning, especially on deep learning, have made phenomenal achievements and applications. However, few researches focus on the task of decoupling compound faults under different speeds and loads conditions.
Ruyi Huang, Zhen Wang 0073, Jipu Li, Junbin Chen, Weihua Li 0004   +4 more
openaire   +1 more source

Compound Rotorcraft Yaw Control Fault Detection

Proceedings of the Vertical Flight Society 76th Annual Forum, 2020
Emerging vertical flight concepts being proffered for solutions to the Future Vertical Lift (FVL) mission set such as compound high speed rotorcraft can be designed with multiple, coupled control effectors thus creating redundant systems in one or two more axes to generate control forces and moments which allow for a range of trim states.
Jeffrey Lewis, Venkatakrishnan Iyer, Eric Johnson   +2 more
openaire   +1 more source