Fault detection plays an important role in high-cost and safety-critical processes. Early
detection of process faults can help avoid abnormal event progression. Fault detection can …

We present the results of our investigation into the use of genetic algorithms (GAs) for
identifying near optimal design parameters of diagnostic systems that are based on artificial …

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 …

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 …

Rolling bearing faults always stay a thorny problem in the renewable energy field; therefore,
the necessity of research and development in this area is essential. In this document, we …

Soil water content prediction is essential to the development of advanced agriculture
information systems. Because soil water content series are inherently noise and non …

Condition Based Maintenance (CBM) software, called cbmLAD, under development at École
Polytechnique de Montréal is presented in this paper. The backbone of the software is a …

A high level of automation in vehicles is accompanied by a variety of sensors and actuators,
whose malfunctions must be dealt with caution because they might cause serious driving …

Monitoring industrial machine health in real-time is not only in high demand, it is also
complicated and difficult. Possible reasons for this include:(a) access to the machines on site …

A system and method is disclosed which monitors factors in order to prevent impending
component failure within a mechanical system, such as an aircraft. The monitoring system …