Acquisition And Analysis Of Bearing Vibration Signals Based On USB And LabVIEW

In the industrial production field, equipments could be broken down or even damaged caused by bearing wear. To ensure the equipment working properly, it is imperative to monitor bearing vibration signals in real-time manner and detect the faults. In the process of bearing defect detection and diagnosis, the faulty bearing vibration signals are scattered in a wide frequency range, which can be easily masked by noise and low-frequency effects. Therefore, it is an important way to analysis the signal spectrum and determine the type of bearing defects in the study of bearing vibration signals for fault diagnosis. This paper presents a USB data acquisition and LabVIEW-based system design to collect and analyze the operating conditions of bearing vibration signal in real time.The main works completed by the author are:1. This paper investigated the history and latest research situation of bearing fault diagnosis home and abroad as well as commonly used bearing fault diagnosis. Based on USB data acquisition and Lab VIEW system design, the system is proposed to meet the requirements of bearing vibration detection.2. This paper introduced vibrating mechanism and varieties of factors triggering bearing vibration. In details, this paper elaborated the characteristics of rolling bearing vibration signals, and formulas were given to determine typical bearing characteristic frequencies. Also, rolling bearing vibration model with local defects was given. Then, using MATLAB software in both time and frequency domain, good bearing vibration signals were compared and analyzed with the defected ones based on data provided by CWRU bearing center.3. In order to realize the bearing vibration signal acquisition, this paper presents a USB interface data acquisition card, which is integrated with AVRmegal6 as control chip and USBN9604 as interface chip. More, firmware and driver programs were designed.4. By programming on the LabVIEW platform, this paper implemented the acquisition process control and system results display in real time.5. In a given bearing parameters, the result displayed vibration waveform and frequency spectrum of good bearing and defects existed in the outer race, inner race and both outer and inner race and ball respectively. Finally, the result was compared and analyzed.