This paper describes the development of a mechatronic system for a predictive maintenance grounded on wear particle analysis. The reckoning of wear particles containing in lubricating industrial oils brings the image acquisition system into being. The ISO 4406:1999 standard is a guide to establish the counting and evaluation processes of particles. The system applied to the acquisition and analysis of the data consists of a digital camera, a monocular microscope and an oil filtering system. A computational program was developed with the application of Visual Microsoft C++ in a way to detain the oil sample image from the microscope slide to the computer screen. Quantitative analyses of the wear debris particles bulk are exploited applying a ...
A large amount of research work has been conducted to evaluate and predict wear condition of compone...
The presence of microscopic particles in suspension in industrial fluids is often an early warning o...
Vidéoconférence - Online virtual conferenceInternational audienceThe current work proposes to move ...
This paper describes the development of a mechatronic system for a predictive maintenance grounded o...
Monitoring wear particles in lubricating oils allows specialists to evaluate thehealth and functiona...
The paper describes a knowledge based system for analysis of microscopic wear particles. Wear partic...
For a computer to automatically identify wear and contaminant particles it is essential to develop i...
Wear state is an important indicator of machinery operation condition that reveals whether faults ha...
The strategies of monitoring a machine's condition and carrying out operational equipment maintenanc...
Abstract: A new computerised wear particle atlas has been developed for identification of solid part...
Three-dimensional morphologies of wear particles are important information sources for machine condi...
Lubricating oil monitoring technology is a commonly used method in aeroengine condition monitoring, ...
In this paper, the correlation of vibration analysis and wear debris analysis for machine condition ...
Wear debris analysis is an integral component of oil analysis, and is an extremely powerful techniqu...
Rolling element bearings are commonly used in rotatory machines and their operation conditions need ...
A large amount of research work has been conducted to evaluate and predict wear condition of compone...
The presence of microscopic particles in suspension in industrial fluids is often an early warning o...
Vidéoconférence - Online virtual conferenceInternational audienceThe current work proposes to move ...
This paper describes the development of a mechatronic system for a predictive maintenance grounded o...
Monitoring wear particles in lubricating oils allows specialists to evaluate thehealth and functiona...
The paper describes a knowledge based system for analysis of microscopic wear particles. Wear partic...
For a computer to automatically identify wear and contaminant particles it is essential to develop i...
Wear state is an important indicator of machinery operation condition that reveals whether faults ha...
The strategies of monitoring a machine's condition and carrying out operational equipment maintenanc...
Abstract: A new computerised wear particle atlas has been developed for identification of solid part...
Three-dimensional morphologies of wear particles are important information sources for machine condi...
Lubricating oil monitoring technology is a commonly used method in aeroengine condition monitoring, ...
In this paper, the correlation of vibration analysis and wear debris analysis for machine condition ...
Wear debris analysis is an integral component of oil analysis, and is an extremely powerful techniqu...
Rolling element bearings are commonly used in rotatory machines and their operation conditions need ...
A large amount of research work has been conducted to evaluate and predict wear condition of compone...
The presence of microscopic particles in suspension in industrial fluids is often an early warning o...
Vidéoconférence - Online virtual conferenceInternational audienceThe current work proposes to move ...