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 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 …

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 …

Purpose–The purpose of this paper is to test the applicability and the performance of an
approach called logical analysis of data (LAD) on the detection of faults in rotating …

Power system asset management involves several multidisciplinary activities to ensure the
reliable, efficient, and safe operation of power equipment. One aspect of effective asset …

Data-based equipment fault detection and diagnosis is an important research area in the
smart factory era, which began with the Fourth Industrial Revolution. Steel manufacturing is …

The steel industry is typical process manufacturing, and the quality and cost of the products
can be improved by efficient operation of equipment. This paper proposes an efficient …

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 …

Abstract Logical Analysis of Data and Formal Concept Analysis are separately developed
methodologies based on different mathematical foundations. We show that the two …

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 …