Over the past 25 years, much research has been devoted to the development of Health and
Usage Monitoring (HUM) systems for rotorcraft gearbox and drivetrain components. The …

Manufacturing systems usually consist of processes and machines in a multi-leveled
hierarchy. As a result, dimensional variation in the final product is accumulated as the …

A model-based diagnostic methodology is proposed for the dimensional fault diagnosis of
compliant beam structures in automotive or aerospace assembly processes. In the diagnosis …

A multi-sensor tool breakage detection system is introduced that characterizes the state of
measurements during normal (no-fault) condition and at tool breakage by the two columns of …

Preventive maintenance is a significant cost associated with the use of helicopters. Recent
efforts have focused on changing maintenance from periodic inspection to condition-based …

The error control and distribution of multi-operational machining processes is an active and
important research topic in manufacturing. Most of the recent studies focus on statistical …

Based on a recently developed approach to the design of unknown input observers, this
paper presents a fault detection method for unknown systems with unknown input. By …

Machine tool monitoring and control are essential for automated manufacturing. Monitoring
is necessary for detection of a process anomaly to prevent machine damage by stop** the …

Efficient extraction of fault signatures from sensory data is a major concern in fault diagnosis.
This paper introduces a self-tuning method of fault signature extraction that enhances fault …

In this paper we investigate the effectiveness of a pattern classifying fault detection system
that is designed to cope with the variability of fault signatures inherent in helicopter …