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

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 …

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 …

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

Most of the reported prognostic techniques use a small number of condition indicators,
mostly one, and use expert-set thresholds in order to predict the remaining useful life (RUL) …

Logical analysis of data (LAD) has the advantage of not relying on any statistical theory,
which enables it to overcome the conventional problems concerning the statistical properties …

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 pattern‐based prognostic methodology that combines logical
analysis of data (LAD) as an event‐driven diagnostic technique, and Kaplan–Meier (KM) …