Automated Bearing Wear Detection
نویسنده
چکیده
The following paper will describe a methodology for automatically detecting and diagnosing rolling element bearing wear. The techniques involved have been proven in over 15 years of use in a huge variety of environments, machine types and applications. The techniques involved in diagnosing bearing wear will be described in detail and supported by a set of example graphs and an annotated diagnostic report.
منابع مشابه
Bearing Fault Detection Based on Maximum Likelihood Estimation and Optimized ANN Using the Bees Algorithm
Rotating machinery is the most common machinery in industry. The root of the faults in rotating machinery is often faulty rolling element bearings. This paper presents a technique using optimized artificial neural network by the Bees Algorithm for automated diagnosis of localized faults in rolling element bearings. The inputs of this technique are a number of features (maximum likelihood estima...
متن کاملDynamic Simulation of IC Engine Bearings for Fault Detection and Wear Prediction
Journal bearings used in IC engines are prone to premature failures and are likely to fail earlier than the rated life due to highly impulsive and unstable operating conditions and frequent starts/stops. Vibration signature extraction and wear debris analysis techniques are prevalent in industry for condition monitoring of rotary machinery. However, both techniques involve a great deal of techn...
متن کاملWear rate evaluation of a novel polycarbonate-urethane cushion form bearing for artificial hip joints.
There is growing interest in the use of compliant materials as an alternative to hard bearing materials such as polyethylene, metal and ceramics in artificial joints. Cushion form bearings based on polycarbonate-urethane (PCU) mimic the natural synovial joint more closely by promoting fluid-film lubrication. In the current study, we used a physiological simulator to evaluate the wear characteri...
متن کاملFilter Debris Analysis by Energy Dispersive X-ray Fluorescence Applied to J52p408 Engines
A technique to analyze particulates extracted from inline jet engine oil filters using energy dispersive X-ray fluorescence (EDXRF) is presented. This technique, developed by the U.S. Department of Defense’s Joint Oil Analysis Technical Support Center (JOAP-TSC), is termed filter debris analysis (FDA). Six beta prototype instruments capable of performing FDA-EDXRF in an automated mode were manu...
متن کاملWear Distribution Detection of Knee Joint Prostheses by Means of 3D Optical Scanners
The objective of this study was to examine total knee polyethylene inserts from in vitro simulation to evaluate and display-using a 3D optical scanner-wear patterns and wear rates of inserts exposed to wear by means of simulators. Various sets of tibial inserts have been reconstructed by using optical scanners. With this in mind, the wear behavior of fixed and mobile bearing polyethylene knee c...
متن کامل