شماره ركورد كنفرانس :
5142
عنوان مقاله :
Condition Monitoring and Detection of combined defects of electromotor and gearbox system in the frequency and Time-Frequency domains; Case study: rotary machines of Markazi Province Iron Ore Plant
پديدآورندگان :
Malekzadeh Saeid S_malekzadeh@sbu.ac.ir Shahid Beheshti University, Tehran, Iran , Rashidinia Babak b_rashidinia@rail.iust.ac.ir Iran University of Science and Technology, Tehran, Iran , Ghasemi Hadi h_ghasemi99@rail.iust.ac.ir Iran University of Science and Technology, Tehran, Iran
كليدواژه :
Condition Monitoring and Fault detection , Frequency and Time , Frequency domain , Short Time Fourier Transform (STFT) , Wavelet Transform , Empirical Mode Decomposition (EMD)
عنوان كنفرانس :
كنفرانس تخصصي پايش وضعيت و عيب يابي
چكيده فارسي :
In this study, the condition monitoring of the rotary machine was considered that led to detecting of combined defects including gear and electromotor bearing faults. Using Easy Viber vibration analyser and 3-axial CTC accelerometer sensor installed at 4 points, the bearing vibration time signals were extracted with a data sample rate of 8196 Hz and were compared ISO 10816-3. Then, using FFT, the signal resolution and clarity were improved by using appropriate filtering. Then, time-frequency domain transformations were used to identify more accurately the types of defect and their locations. STFT, wavelet transform and EMD by MATLAB were considered.
