Results 31 to 40 of about 1,567,597 (316)

A Novel Methodology for Series Arc Fault Detection by Temporal Domain Visualization and Convolutional Neural Network

Sensors, 2019
AC arc faults are one of the most important causes of residential electrical wiring fires, which may produce extremely high temperatures and easily ignite surrounding combustible materials.
Kai Yang, Ruobo Chu, Rencheng Zhang, Jinchao Xiao, Ran Tu   +4 more
doaj   +1 more source

Distributed Robust Dictionary Pair Learning and Its Application to Aluminum Electrolysis Industrial Process [PDF]

, 2022
In modern industrial systems, high-dimensional process data provide rich information for process monitoring. To make full use of local information of industrial process, a distributed robust dictionary pair learning (DRDPL) is proposed for refined ...
Ziqing Deng, Jingkun Wang, Xiaofang Chen, Hongliang Zhang, Jing Zeng   +4 more
core   +1 more source

Multilayer Network-Based Production Flow Analysis

Complexity, 2018
A multilayer network model for the exploratory analysis of production technologies is proposed. To represent the relationship between products, parts, machines, resources, operators, and skills, standardized production and product-relevant data are ...
Tamás Ruppert, Gergely Honti, János Abonyi   +2 more
doaj   +1 more source

A review of kernel methods for feature extraction in nonlinear process monitoring [PDF]

, 2019
Kernel methods are a class of learning machines for the fast recognition of nonlinear patterns in any data set. In this paper, the applications of kernel methods for feature extraction in industrial process monitoring are systematically reviewed.
Lao, L., Cao, Y., Yang, Shuang-Hua, Yang, S.-H., Karl Ezra Pilario, Shuang-Hua Yang, Shafiee, M., Lao, Liyun, Liyun Lao, Cao, Yi, Pilario, K., Shafiee, Mahmood, Mahmood Shafiee, Yi Cao, Pilario, Karl Ezra   +14 more
core   +1 more source

Synthetic Minority Oversampling Enhanced FEM for Tool Wear Condition Monitoring [PDF]

, 2023
Recent advances in artificial intelligence (AI) technology have led to increasing interest in the development of AI-based tool wear condition monitoring methods, heavily relying on large training samples.
Bihui Peng, Deqiang Huang, Bintao Sun, Yuqing Zhou, Canyang Ye, Huan Zhang   +5 more
core   +1 more source

A New Stress Intensity Factor Solution Based on the Response Surface Method for Nozzle Corner Cracks in Nuclear Reactor for Thermal Energy Generation

Frontiers in Energy Research, 2021
As considered carbon-free, the use of nuclear energy for thermal energy generation may expand in the future, with the guarantee of safe operation of the nuclear reactor.
Ting Jin, Ting Jin, Zhibo He, Pan Liu, Zihang Wang, Yuebing Li, Yuebing Li, Dasheng Wang   +7 more
doaj   +1 more source

Fibre grating refractometer sensors for composite process monitoring [PDF]

, 2007
Optimum performance from advanced composites requires careful control of the resin matrix during cure. This is to ensure there are no cure induced voids and to minimise the build up of internal stresses.
Ralph P. Tatam, Ivana K. Partridge, James, Stephen W., Athanasios Dimopoulos, Skordos, Alexandros A., Alexandros A. Skordos, Stephen J. Buggy, Tatam, Ralph P., Chehura, Edmon, Buggy, Stephen J., Stephen W. James, Dimopoulos, A., Partridge, Ivana K., Edmond Chehura   +13 more
core   +1 more source

“3S” TECHNOLOGIES AND APPLICATION FOR DYNAMIC MONITORING SOIL AND WATER LOSS IN THE YANGTZE RIVER BASIN, CHINA [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2020
For China, which has many big rivers, there is an urgent need for efficient dynamic monitoring technology of water and soil loss. However, there are some problems in the current 3S (RS, GIS and GPS) technology for dynamic monitoring water and soil loss ...
C. Li, J. Yao, R. Li, Y. Zhu, H. Yao, P. Zhang, D. Wei, S. Zhao, Y. Li, Y. Wu   +9 more
doaj   +1 more source

Biosensors for process monitoring

Journal of Industrial Microbiology, 1992
A short review about the biosensor research activities for bioprocess monitoring in the F.R.G. after its reunification is given. The principles of biosensor applications are presented. In situ sensors and sensors based on the principles of flow injection analysis are studied.
openaire   +2 more sources

Learning Interpretable Mixture of Weibull Distributions—Exploratory Analysis of How Economic Development Influences the Incidence of COVID-19 Deaths

Data, 2021
This paper presents an algorithm for learning local Weibull models, whose operating regions are represented by fuzzy rules. The applicability of the proposed method is demonstrated in estimating the mortality rate of the COVID-19 pandemic.
Róbert Csalódi, Zoltán Birkner, János Abonyi   +2 more
doaj   +1 more source