Review on prognostics and health management in smart factory: From conventional to deep learning perspectives
At present, the fourth industrial revolution is pushing factories toward an intelligent,
interconnected grid of machinery, communication systems, and computational resources …
interconnected grid of machinery, communication systems, and computational resources …
Recent Advances in Intelligent Algorithms for Fault Detection and Diagnosis
P Mercorelli - Sensors, 2024 - mdpi.com
Fault-finding diagnostics is a model-driven approach that identifies a system's
malfunctioning portion. It uses residual generators to identify faults, and various methods like …
malfunctioning portion. It uses residual generators to identify faults, and various methods like …
Health monitoring of CNC machining processes using machine learning and wavelet packet transform
Monitoring the health of a machining process plays a crucial role in advancing fully
automated manufacturing. Faulty machining processes (abnormal process) leads to part …
automated manufacturing. Faulty machining processes (abnormal process) leads to part …
Generator of Fuzzy Implications
A Daniilidou, A Konguetsof, G Souliotis… - Algorithms, 2023 - mdpi.com
In this research paper, a generator of fuzzy methods based on theorems and axioms of fuzzy
logic is derived, analyzed and applied. The family presented generates fuzzy implications …
logic is derived, analyzed and applied. The family presented generates fuzzy implications …
Interval Type-2 Fuzzy Set-Theoretic Control Design for Uncertain Dynamical Systems
Fuzzy set plays an important role in handling vagueness for controlling uncertain dynamical
systems. However, conventional type-1 fuzzy set (T1FS) requires precisely defined …
systems. However, conventional type-1 fuzzy set (T1FS) requires precisely defined …
AdaBoost Ensemble Approach with Weak Classifiers for Gear Fault Diagnosis and Prognosis in DC Motors
SS Hussain, SSH Zaidi - Applied Sciences, 2024 - mdpi.com
This study introduces a novel predictive methodology for diagnosing and predicting gear
problems in DC motors. Leveraging AdaBoost with weak classifiers and regressors, the …
problems in DC motors. Leveraging AdaBoost with weak classifiers and regressors, the …
Type-2 Fuzzy Logic Algorithm Based High Gain Improved Luo Converter for EV Applications
The electrical grid's quality of power is compromised by the building of electric vehicle (EV)
charging stations. This research suggests an electric vehicle period type 2 regulated high …
charging stations. This research suggests an electric vehicle period type 2 regulated high …