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 …

In safety of machinery, estimating the probability of occurrence of harm is a recurrent
problem. This paper proposes and applies a new method to estimate that probability …

We present a novel approach to fault detection and Physical Asset Health Management
(PAHM) called Logical Analysis of Data (LAD). LAD is a supervised learning, artificial …

This paper proposes a methodological approach for designing a dynamic risk identification
and estimation support tool for machinery safety. Based on a comprehensive literature …

This paper discusses the analysis approach when using event trees and fault trees in a
quantitative risk assessment context. The basic question raised is when to introduce …

This paper investigates the application of a data mining technique called Logical Analysis of
Data (LAD) to condition-based maintenance. The existing classification techniques are …

This paper proposes a new probabilistic approach for safety-related systems design based
on modeling accident scenarios with databases where missing data is a major concern. The …

Abstract Although Machine Learning (ML) is widely used to examine hidden patterns in
complex databases and learn from them to predict future events in many fields, utilization of …

In industrial environment, data generated during equipment maintenance and monitoring
activities has become increasingly overwhelming. Data mining presents an opportunity to …

The data mining researches to facilitate the process of safety management is fairly new,
compared to other industrial management domains. The implementation of appropriate …