Accelerated Bearing Life-time Test Rig Development for Low Speed Data Acquisition

Abstract

Condition monitoring plays an important role in rotating machinery to ensure reliability of the equipment, and to detect fault conditions at an early stage. Although health monitoring methodologies have been thoroughly developed for rotating machinery, low-speed conditions often pose a challenge due to the low signal-to-noise ratio. To this aim, sophisticated algorithms that reduce noise and highlight the bearing faults are necessary to accurately diagnose machines undergoing this condition. In the development phase, sensor data from a healthy and damaged bearing rotating at low-speed is required to verify the performance of such algorithms. A test rig for performing accelerated life-time testing of small rolling element bearings is designed to collect necessary sensor data. Heavy loads at high-speed conditions are applied to the test bearing to wear it out fast. Sensor data is collected in intervals during the test to capture the degeneration features. The main objective of this paper is to provide a detailed overview for the development and analysis of this test rig. A case study with experimental vibration data is also presented to illustrate the efficacy of the developed test rig.

Simulation-driven Deep Classification of Bearing Faults from Raw Vibration Data

“…In test 2, an increase is seen from record 530. ditions under combined radial and axial load. The design and functionality thoroughly described in (Klausen, Folgerø, Robbersmyr, & Karimi, 2017). Vibration data was collected from an accelerometer perpendicular to the load zone, sampled at 51200 Hz.…”