AIMC Topic: Chemical Industry
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A Method to Extract Causality for Safety Events in Chemical Accidents from Fault Trees and Accident Reports.
Computational intelligence and neuroscience
Jun 19, 2020
Chemical event evolutionary graph (CEEG) is an effective tool to perform safety analysis, early warning, and emergency disposal for chemical accidents. However, it is a complicated work to find causality among events in a CEEG. This paper presents a ...
Current and Future Roles of Artificial Intelligence in Medicinal Chemistry Synthesis.
Journal of medicinal chemistry
Apr 14, 2020
Artificial intelligence and machine learning have demonstrated their potential role in predictive chemistry and synthetic planning of small molecules; there are at least a few reports of companies employing synthetic planning into their overall appr...
Application of fuzzy fault tree analysis based on modified fuzzy AHP and fuzzy TOPSIS for fire and explosion in the process industry.
International journal of occupational safety and ergonomics : JOSE
May 9, 2018
This study aimed at establishing fault tree analysis (FTA) using expert opinion to compute the probability of an event. To find the probability of the top event (TE), all probabilities of the basic events (BEs) should be available when the FTA is dra...
Online monitoring and control of particle size in the grinding process using least square support vector regression and resilient back propagation neural network.
ISA transactions
Dec 17, 2014
Particle size soft sensing in cement mills will be largely helpful in maintaining desired cement fineness or Blaine. Despite the growing use of vertical roller mills (VRM) for clinker grinding, very few research work is available on VRM modeling. Thi...
An Interval Type-2 Neural Fuzzy System for Online System Identification and Feature Elimination.
IEEE transactions on neural networks and learning systems
Aug 21, 2014
We propose an integrated mechanism for discarding derogatory features and extraction of fuzzy rules based on an interval type-2 neural fuzzy system (NFS)-in fact, it is a more general scheme that can discard bad features, irrelevant antecedent clause...
Machine learning classifiers to detect data pattern change of continuous emission monitoring system: A typical chemical industrial park as an example.
Environment international
Jul 1, 2025
Continuous Emission Monitoring Systems (CEMS) are critical for real-time pollutant measurement, widely deployed to supervise industrial emissions and ensure regulatory compliance. Despite their utility, CEMS data face challenges of data fabrications,...
Pooling knowledge and improving safety for contracted works at a large industrial park.
Work (Reading, Mass.)
Jan 1, 2015
BACKGROUND: At a large chemical park maintenance is contracted by the major companies operating the plants to many small firms. The cultural and psychological isolation of contractor workers was recognized a root cause of severe accidents in the rece...
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