Results 31 to 40 of about 383 (144)
AI in chemical engineering: From promise to practice
AIChE Journal, Volume 72, Issue 7, July 2026.Abstract Artificial intelligence (AI) in chemical engineering has moved from promise to practice: physics‐aware (gray‐box) models are gaining traction, reinforcement learning complements model predictive control (MPC), and generative AI powers documentation, digitization, and safety workflows.
Jia Wei Chew +4 more
wiley +1 more source
Hybrid Random Forest and Support Vector Machine Modeling for HVAC Fault Detection and Diagnosis
Sensors, 2021 The malfunctioning of the heating, ventilating, and air conditioning (HVAC) system is considered to be one of the main challenges in modern buildings. Due to the complexity of the building management system (BMS) with operational data input from a large ...
Wunna Tun +2 more
doaj +1 more source
Veterinary Medicine and Science, Volume 12, Issue 4, July 2026.In this descriptive pilot study, short‐term (5‐day) high‐dose firocoxib (1.0 mg/kg) was not associated with detectable gastric mucosal injury in horses. Due to non‐randomised design and small sample size (n = 5/group), no causal conclusions can be drawn. Findings are hypothesis‐generating and require confirmation in adequately powered trials.
Renato Abrantes de Oliveira +3 more
wiley +1 more source
Development and validation of a 3D printed phantom for image quality assessment in fluoroscopy
Journal of Applied Clinical Medical Physics, Volume 27, Issue 6, June 2026.Abstract Background Low‐contrast detectability is a key image‐quality parameter in fluoroscopy, directly influencing diagnostic accuracy and patient safety. Commercial phantoms such as the CDRAD provide reliable assessments but are costly and lack flexibility for routine use. Purpose To develop and validate a low‐cost 3D‐printed phantom for fluoroscopy
Túlio Guilherme Soares Marques +1 more
wiley +1 more source
Zhileng xuebao, 2017 As one of the multivariate data analysis methods, principal component analysis (PCA) is widely used for sensor fault diagnosis in refrigeration and air conditioning systems.
Zhang Hongtao +5 more
doaj
A New Fault Tolerant Nonlinear Model Predictive Controller Incorporating an UKF-Based Centralized Measurement Fusion Scheme [PDF]
Iranian Journal of Chemistry & Chemical Engineering, 2011 A new Fault Tolerant Controller (FTC) has been presented in this research by integrating a Fault Detection and Diagnosis (FDD) mechanism in a nonlinear model predictive controller framework.
Karim Salahshoor, Shabnam Salehi,
doaj
Semi-Supervised Random Forest Methodology for Fault Diagnosis in Air-Handling Units
Buildings, 2022 Air-handling units have been widely used in indoor air conditioning and circulation in modern buildings. The data-driven FDD method has been widely used in the field of industrial roads, and has been widely welcomed because of its extensiveness and ...
Guofeng Ma, Haoran Ding
doaj +1 more source
Energy Science &Engineering, Volume 14, Issue 6, Page 2961-2982, June 2026.A real‐time, data‐driven framework detects and classifies photovoltaic array faults using edge sensing and server‐side machine learning. Ensemble tree models achieve near‐perfect accuracy with low latency, enabling practical, low‐cost deployment for reliable PV monitoring and intelligent maintenance.
Premkumar Manoharan +4 more
wiley +1 more source
An Automated Machine Learning Approach for Real-Time Fault Detection and Diagnosis
Sensors, 2022 This work presents a novel Automated Machine Learning (AutoML) approach for Real-Time Fault Detection and Diagnosis (RT-FDD). The approach’s particular characteristics are: it uses only data that are commonly available in industrial automation systems ...
Denis Leite +4 more
doaj +1 more source
Patient Dose Optimisation of Abdominopelvic Protocols During X‐Ray Imaging
Journal of Medical Radiation Sciences, Volume 73, Issue 2, Page 156-163, June 2026.This study evaluates organ doses in abdominopelvic radiography for both erect and supine positions, addressing dose optimisation concerns in Ghana. Using CalDose X and thermoluminescence dosimeters, organ doses and image quality were analysed, revealing significant dose reductions with optimised exposure parameters (70 kVp, 10 mAs, 110 cm FDD).
Emmanuel Ekem‐Ferguson +3 more
wiley +1 more source