Fault diagnosis in power transformers using multi-class logical analysis of data
This paper presents the implementation of a novel multi-class diagnostic technique for the
detection and identification of faults based on an approach called logical analysis of data …
detection and identification of faults based on an approach called logical analysis of data …
Recent advances in the theory and practice of logical analysis of data
Abstract Logical Analysis of Data (LAD) is a data analysis methodology introduced by Peter
L. Hammer in 1986. LAD distinguishes itself from other classification and machine learning …
L. Hammer in 1986. LAD distinguishes itself from other classification and machine learning …
Developing machine-learning regression model with Logical Analysis of Data (LAD)
This paper proposes a regression model based on Logical Analysis of Data (LAD). LAD is
known as a combinatorial Boolean supervised data mining technique for pattern generation …
known as a combinatorial Boolean supervised data mining technique for pattern generation …
Optimization of condition-based maintenance using soft computing
Due to high costs associated with conventional maintenance strategies, application of soft
computing in monitoring the condition of equipment to predict the health of various …
computing in monitoring the condition of equipment to predict the health of various …
Operating load based real-time rolling grey forecasting for machine health prognosis in dynamic maintenance schedule
Abstract Machine health prognosis plays an important role in the dynamic maintenance
decision-making. For complex manufacturing systems, it is necessary to schedule a …
decision-making. For complex manufacturing systems, it is necessary to schedule a …
Application of logical analysis of data to machinery-related accident prevention based on scarce data
S Jocelyn, Y Chinniah, MS Ouali, S Yacout - Reliability Engineering & …, 2017 - Elsevier
This paper deals with the application of Logical Analysis of Data (LAD) to machinery-related
occupational accidents, using belt-conveyor-related accidents as an example. LAD is a …
occupational accidents, using belt-conveyor-related accidents as an example. LAD is a …
Data-driven approach to predict the sequence of component failures: a framework and a case study on a process industry
S Antomarioni, FE Ciarapica… - International Journal of …, 2022 - emerald.com
Purpose The research approach is based on the concept that a failure event is rarely
random and is often generated by a chain of previous events connected by a sort of domino …
random and is often generated by a chain of previous events connected by a sort of domino …
Autonomous self-healing mechanism for a CNC milling machine based on pattern recognition
A sustainable and reliable machining process is the main goal of seeking machine
digitization. Artificial Intelligence (AI), and Cyber-Physical System (CPS) combined with …
digitization. Artificial Intelligence (AI), and Cyber-Physical System (CPS) combined with …
Deep Reinforcement Learning for autonomous pre-failure tool life improvement
This paper develops an approach to improve a CNC machine's tool performance and slow
down its degradation rate automatically in the Pre-Failure stage. A Deep Reinforcement …
down its degradation rate automatically in the Pre-Failure stage. A Deep Reinforcement …
Logical analysis of data: theory, methodology and applications
Logical analysis of data (LAD) is a data analysis methodology which combines ideas and
concepts from optimization, combinatorics and Boolean functions. The idea of LAD was first …
concepts from optimization, combinatorics and Boolean functions. The idea of LAD was first …