Results 21 to 30 of about 73,405 (211)

Multi-Domain Weighted Transfer Adversarial Network for the Cross-Domain Intelligent Fault Diagnosis of Bearings

Machines, 2022
Transfer learning is a topic that has attracted attention for the intelligent fault diagnosis of bearings since it addresses bearing datasets that have different distributions.
Yuanfei Wang, Shihao Li, Feng Jia, Jianjun Shen   +3 more
doaj   +1 more source

Embedded intelligence for electrical network operation and control [PDF]

, 2011
Integrating multiple types of intelligent, mulitagent data analysis within a smart grid can pave the way for flexible, extensible, and robust solutions to power network ...
Catterson, Victoria, Davidson, Euan, Mcarthur, Stephen   +2 more
core   +1 more source

Research on Intelligent Diagnosis Method for Large-Scale Ship Engine Fault in Non-Deterministic Environment

Polish Maritime Research, 2017
Aiming at the problem of inaccurate and time-consuming of the fault diagnosis method for large-scale ship engine, an intelligent diagnosis method for large-scale ship engine fault in non-deterministic environment based on neural network is proposed ...
Feng Donghua, Li Yahong
doaj   +1 more source

Intelligent Diagnosis of Rotating Machinery Based on Optimized Adaptive Learning Dictionary and 1DCNN

Applied Sciences, 2021
In the intelligent fault diagnosis of rotating machinery, it is difficult to extract early weak fault impact features of rotating machinery under the interference of strong background noise, which makes the accuracy of fault identification low.
Hongchao Wang, Chuang Liu, Wenliao Du, Shuangyuan Wang   +3 more
doaj   +1 more source

AI and OR in management of operations: history and trends [PDF]

, 2007
The last decade has seen a considerable growth in the use of Artificial Intelligence (AI) for operations management with the aim of finding solutions to problems that are increasing in complexity and scale.
Kobbacy, KAH, Rasmy, MH, Vadera, S
core   +1 more source

The research and application of intelligent fault diagnosis methods

浙江大学学报. 农业与生命科学版, 2003
The main point of intelligent fault diagnosis theory is fault mode distinguish principle based on data processing methods. Data processing methods mainly include wavelet analysis, main component analysis and rough theory.
HE Yong, LI Zeng-fang
doaj   +1 more source

Issues in integrating existing multi-agent systems for power engineering applications [PDF]

, 2005
Multi-agent systems (MAS) have proven to be an effective platform for diagnostic and condition monitoring applications in the power industry. For example, a multi-agent system architecture, entitled condition monitoring multi-agent system (COMMAS ...
Catterson, V.M., Davidson, E.M., McArthur, S.D.J.   +2 more
core   +1 more source

Research on Improved Deep Convolutional Generative Adversarial Networks for Insufficient Samples of Gas Turbine Rotor System Fault Diagnosis

Applied Sciences, 2022
In gas turbine rotor systems, an intelligent data-driven fault diagnosis method is an important means to monitor the health status of the gas turbine, and it is necessary to obtain sufficient fault data to train the intelligent diagnosis model.
Shucong Liu, Hongjun Wang, Xiang Zhang
doaj   +1 more source

Multi-Agent Cooperation for Particle Accelerator Control [PDF]

, 1996
We present practical investigations in a real industrial controls environment for justifying theoretical DAI (Distributed Artificial Intelligence) results, and we discuss theoretical aspects of practical investigations for accelerator control and ...
Skarek, P., Varga, László Zsolt
core   +1 more source

Intelligent diagnosis of rolling bearing compound faults based on device state dictionary set sparse decomposition feature extraction–hidden Markov model

Advances in Mechanical Engineering, 2020
Identification of rolling bearing fault patterns, especially for the compound faults, has attracted notable attention and is still a challenge in fault diagnosis.
HongChao Wang, WenLiao Du
doaj   +1 more source