Abstract Effective monitoring of the tool wear condition within a machining process can be very challenging. Depending on sensors used, often only part relevant information detected. In case milling processes data acquisition is made even more difficult by fact that working point inaccessible for sensor applications due to physical tool, itself, chipping and used cooling-lubricants. By using va...

apart from regular wheel wear such as decreasing wheel diameters and reduced flange thicknesses and heights, wheel flats (wf) and oval wheels (or oor, out-of-roundness) are the most common wheelset problems for railway vehicles. within the fp7 research project “saferail”, apt has developed an innovative wheelset monitoring system so-called “wheel flat and out of roundness monitoring (worm) syst...

68 October 2007 EngineerIT This article aims to automate such intuitive human skills for future sleeper inspections. Pattern recognition has been proposed for classification and results from sensors based on the abovementioned methods were fused to generate a single output condition. Final results achieved in this work indicate an overall classification rate of around 88% compared to the human ...

An initial investigation into the performance of acoustic condition monitoring in the detection of structural faults in turbine blades has been carried out. The focus is to design a non-contact condition monitoring method which might allow the detection of incipient faults in the turbine blades therefore preventing major breakdown and potentially reducing maintenance downtime. Such systems, may...

This project describes our approach for automating the calibration stage needed by the Factorial Switching Linear Dynamical System (FSLDS) for neonatal condition monitoring. Using observations collected by the monitoring equipment, the FSLDS proposed by Prof Christopher Williams and Dr John Quinn [22] is highly successful in inferring the probability distributions of both physiological and arti...

Within the frame of machinery maintenance, spectral analysis is a helpful tool. Therefore, an automatic spectral analysis tool, capable to identify each component of a measured signal would be of interest. This paper studies a new spectral analysis strategy for detecting, characterizing and classifying all spectral components of an unknown process. Indeed, any vibration signal can be considered...

Maintenance actions cannot be defined and undertaken in isolation from the business and production objectives of a typical company. They must be predicted and subsequently planned into the production schedule. Condition monitoring identifies changes within defined monitoring parameters to trigger maintenance. These changes when combined with engineering knowledge, historical data and other moni...