This research develops an equipment failure prognostics model to predict the equipment's
chance of survival, using LAD. LAD benefits from not relying on any statistical theory, which …

This paper develops an equipment failure prognostics model, in the context of Condition
Based Maintenance (CBM), in order to predict the equipment's chance of survival, using …

This paper develops equipment optimal condition based replacement model, using Logical
Analysis of Data (LAD). LAD is a powerful classification method that does not relying on any …

Abstract In this study, Logical Analysis of Data (LAD) is used to propose an optimal
equipment replacement model. Unlike most classification techniques, LAD has the …

This paper demonstrates the implementation of Logical Analysis of Data (LAD) methodology
in the field of prognostics in Condition Based Maintenance (CBM). In this paper the LAD …

This paper presents a novel approach for incorporating condition information based on
historical data into the development of reliability curves. The approach uses a variation of …

Purpose This study aims to address the critical issue of machine breakdowns in industrial
settings, which jeopardize operation economy, worker safety, productivity and environmental …

In this paper, we propose a multiple fault prognostic methodology which considers the
condition monitoring data collected from equipment that experiences one of several different …

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 …

Purpose Condition-based maintenance (CBM) has become a central maintenance
approach because it performs more efficient diagnoses and prognoses based on equipment …