Results 21 to 30 of about 8,357,911 (282)
Bearing State Recognition Method Based on Transfer Learning Under Different Working Conditions [PDF]
Sensors, 2019 Bearing state recognition, especially under variable working conditions, has the problems of low reusability of monitoring data, low state recognition accuracy and low generalization ability of the model. The feature-based transfer learning method can solve the above problems, but it needs to rely on signal processing knowledge and expert diagnosis ...
Ning Cao +3 more
openaire +4 more sources
Bearing defect detection and diagnosis using a time encoded signal processing and pattern recognition method [PDF]
, 2012 Many new bearing monitoring and diagnosis methods have been explored in the last two decades to provide a technique that is capable of picking up an incipient bearing fault.
Gu, Fengshou +7 more
core +1 more source
African Journal of Leadership and Development, 2019 Job satisfaction is vital to maintain and retain employees within the organization and reduce the expense of hiring new employees; Even with the authority hiring new graduates from different universities, turnover is increasing from year to year.
Mahtem Mebratu
doaj +1 more source
Meikuang AnquanAn analysis was conducted on the identification methods of underground drilling conditions in coal mines from three aspects: parameter collection, data processing, and abnormal condition recognition.
Tao CHEN, Youzhen ZHANG, Chao XU
doaj +1 more source
Frontiers in Psychology, 2017 While some first language (L1) reading models suggest that inefficient word recognition and small working memory tend to inhibit higher-level comprehension processes; the Compensatory Encoding Model maintains that slow word recognition and small working ...
Feifei Han
doaj +1 more source
Scientific Reports, 2023 The recognition of cutting state of coal-rock is the key technology to realize “unmanned” mining in coal face. In order to realized real-time perception and accurate judgment of coal-rock cutting state information, this paper combined the field test ...
Meichen Zhang, Lijuan Zhao, Baisheng Shi
doaj +1 more source
A voiceprint pattern recognition method of smoothing reactor based on CNN
Zhejiang dianli, 2023 In order to accurately identify the operating condition of the smoothing reactor， a deep learning method based on CNN （convolutional neural network） is introduced.
HU Jingen +3 more
doaj +1 more source
Evaluation of Flotation Working Condition Recognition Based on An Improved Apriori Algorithm
IFAC-PapersOnLine, 2018 Abstract Based on machine vision and image processing technology, a large number of methods have been proposed for flotation working condition recognition in froth flotation industry. However, in these condition recognition methods, there lacks internal or external evaluation criteria, so that the reliability of the recognition results obtained by ...
Xiaoli Wang +3 more
openaire +1 more source
Braking energy management strategy for electric vehicles based on working condition prediction
AIP Advances, 2022 To improve the mileage capacity of electric vehicles (EVs), a dual-motor front-wheel-drive EV is considered as the research object. Through experiments with actual vehicles, data from four typical working conditions are collected; a C4.5 decision tree ...
Zhai Yu +4 more
doaj +1 more source
Cycle Condition Identification of Loader Based on Optimized KNN Algorithm
IEEE Access, 2020 The working conditions of loaders alternate between stages of full or empty loads, loading or unloading, and moving forward or backward, which complicates the vehicle's characteristic response.
Zeyu Zhang +5 more
doaj +1 more source