An autonomous low-Cost infrared system for the on-line monitoring of manufacturing processes using novelty detection

Abstract

This paper describes the implementation of a process monitoring system using a low-cost autonomous infrared imager combined with a novelty detection algorithm. The infrared imager is used to monitor the health of several manufacturing processes namely: drilling, grinding, welding and soldering. The main aim is to evaluate the use of low-cost infrared sensor technology combined with novelty detection to distinguish between normal and faulty conditions of manufacturing processes. The ultimate aim is to improve the reliability of the manufacturing operations so as to ensure high part quality and reduce inspection costs. The paper describes several case studies, which have shown that the new lowcost technology could provide an inexpensive and autonomous methodology for monitoring manufacturing processes. Novelty detection is used to compare normal and faulty conditions in order to provide an automated system for fault detection.

Intelligent assembly system for mechanical products and key technology based on internet of things

“…Some relevant cases have been illustrated. The infrared imager is used to monitor the health of a few manufacturing processes (Al-Habaibeh and Parkin 2003). AguilarPonce et al (2007) presented a type of sensor network architecture for sensor-based scene surveillance for detection and tracking objects of interest through the application of agents.…”

Detection of water leakage in buried pipes using infrared technology; A comparative study of using high and low resolution infrared cameras for evaluating distant remote detection

“…Despite its low resolution and low cost, it is still beneficial in bringing the advantages of thermal imaging techniques. The IRISYS is producing a 16x16 low resolution image which can be enhanced using interpolation method to improve it visibility [6].…”

“…This paper addresses the use of infrared technology in order to detected water leakage from buried pipes. The goal is to detect and locate the leakage in pipes effectively with low cost and low resolution technology [6]. This paper compares between a low resolution camera and a high resolution camera in respect to leakage and location detection with support of image processing techniques.…”

Barriers for industrial implementation of in-process monitoring of weld penetration for quality control

“…The empirical experiment identifies technical issues that need to be addressed to implement in-process monitoring in the industry. The interview study offers a unique opportunity to get an insight in how the industry experiences [19] Al-Habaibeh and Parkin [1] Lin et al [12] Schreiber et al [17] Simpson [18] Simpson [20] L v e t a l . [ 13] Li et al [11] Al-Habaibeh and Parkin [1] Simpson [19] Al-Habaibeh the possibility to use this type of in-process monitoring in quality assurance.…”