Abstract
This paper focuses on a problem of vibration-based condition monitoring and fault diagnosis of pumps used in the tractor steering system. The vibration-based machine condition monitoring and fault diagnosis incorporate a number of machinery fault detection and diagnostic techniques. The vibration signal from a piezoelectric transducer was captured for the following conditions: Normal pump (GOOD), Journal-bearing with inner face wear (BIFW), gear with tooth face wear (GTFW), and Journal-bearing with inner face wear plus gear with tooth face wear (G&BW) for three working levels of pump speed (1000, 1500, and 2000 rpm). Then Power Spectral Density (PSD) of vibration spectra was calculated. According to the results, fault diagnosis of hydraulic pump is a difficult task using spectrum of vibration signals alone. Results showed that different faults were showed different PSD versus frequency diagram. Comparison of numerical data produced by calculation the area under PSD v. Frequency diagram show that energy technique is an effective method for fault diagnosis of external gear hydraulic pumps.
Highlights
This paper focuses on a problem of vibration-based condition monitoring and fault diagnosis of pumps used in the tractor steering system
This avoids the sudden, total system failure which can have serious consequences. It is important in the context of condition monitoring to distinguish fault detection from fault diagnosis
The sensor was connected to the signal-conditioning unit (X-Viber Fast Fourier Transform (FFT) analyzer), where the signal goes through a charged amplifier and an analogue-to-digital converter (ADC)
Summary
A number of carefully designed experiments were carried out a hydraulic pump of steering system of Massey Ferguson MF 285 model tractor. This pump is an external gear hydraulic pump. With the sensor mounted on body of gear housing of the pump, vibration signals were measured for various fault conditions by on-line monitoring when tractor was working at a stationary situation. The sensor was connected to the signal-conditioning unit (X-Viber FFT analyzer), where the signal goes through a charged amplifier and an analogue-to-digital converter (ADC). The sampling rate was 1000 Hz. After calculating FFT of vibration signals, power spectral density (PSD) was calculated and graph of PSD versus frequency was plotted for each spectrum
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
