Results 91 to 100 of about 3,273,797 (200)

Research of Fault Detection and Intelligent Diagnosis Technology of Heavy-loading Machinery in Copper-scandium Metal Mine

Gong-kuang zidonghua, 2011
By analyzing fault detection and intelligent diagnosis technologies of key devices of coal mine and combining with equipments condition in copper-scandium metal mine, the paper analyzed application feasibility of coal mine technologies to metal mine, and
ZHANG Guo-Wei
doaj  

Intelligent Fault Diagnosis of Rolling Element Bearings Based on Modified AlexNet. [PDF]

Sensors (Basel), 2023
Mohiuddin M, Islam MS, Islam S, Miah MS, Niu MB.   +4 more
europepmc   +1 more source

A Novel Intelligent Fault Diagnosis Method for Self-Priming Centrifugal Pumps. [PDF]

Entropy (Basel), 2023
Zhang B, Wang Z, Yao L, Luo B.
europepmc   +1 more source

Compound Fault Diagnosis of Planetary Gearbox Based on Improved LTSS-BoW Model and Capsule Network

The identification of compound fault components of a planetary gearbox is especially important for keeping the mechanical equipment working safely. However, the recognition performance of existing deep learning-based methods is limited by insufficient ...
Liyu He, Jingbin Zhang, Guoyan Li, Runjun Liu, Xiong Li, Yulin Ren   +5 more
core   +1 more source

A Domain Adaptation Meta-Relation Network for Knowledge Transfer from Human-Induced Faults to Natural Faults in Bearing Fault Diagnosis

Intelligent fault diagnosis of bearings is crucial to the safe operation and productivity of mechanical equipment, but it still faces the challenge of difficulty in acquiring real fault data in practical applications.
Dong Sun, Xudong Yang, Hai Yang
core   +1 more source

Intelligent system for fault diagnosis in automotive applications.

, 2009
Diese Arbeit bietet ein intelligentes System zur Fehlerdiagnose für Automotive-Anwendungen an. Das System soll sowohl Fehler bei Autos im Einsatz als auch bei der Fahrzeugen, die sich in Entwichlung befinden, behandeln. Das Hauptziel dieser Arbeit ist unter Nutzung von umfangreiche Erfahrungen, die bisher von Systemexperten gewonnen wurde, Fehler zu ...
openaire   +2 more sources

Partial Transfer Learning Method Based on Inter-Class Feature Transfer for Rolling Bearing Fault Diagnosis

Rolling bearing fault diagnosis methods based on transfer learning always assume that the sample classes in the target domain are consistent with those in the source domain during the training phase.
Chuancang Ding, Chengpan Wu, Zhongkui Zhu, Hongbo Que, Xuyan Liu, Siqin Jin, Yaoyan Huo   +6 more
core   +1 more source

Working-Condition-Indexed Generative Domain Generalization for Intelligent Fault Diagnosis Under Unseen Conditions. [PDF]

Sensors (Basel)
Zhao D, Yang F.
europepmc   +1 more source

Intelligent Fault Diagnosis of Rolling Bearings Based on a Complete Frequency Range Feature Extraction and Combined Feature Selection Methodology. [PDF]

Sensors (Basel), 2023
Xue Z, Huang Y, Zhang W, Shi J, Luo H.
europepmc   +1 more source

DARTS-CNN-BiLSTM: Intelligent Fault Diagnosis for Computer Numerical Control Machine Tool Feed System. [PDF]

Ann N Y Acad Sci
Li Y, Liang X, Na L, Guo G, Su P.
europepmc   +1 more source