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Bearing diagnosis analysis technology to assist enterprises to prevent accidents

by:Waxing     2020-11-12
Rolling bearing is the most commonly used in all kinds of rotating machinery, a mechanical components, is also one of the most easily damaged components. Many problems are related to rolling bearing rotating machinery, the working performance of the rolling bearing is good or bad directly affect the work of the whole machine performance. According to statistics, in the use of roller bearing of rotating machinery, due to the damage of rolling bearing and provoked trouble about 30%. Therefore, the rolling bearing working state monitoring and fault diagnosis technology research work more and more people pay attention to. There are more specially for rolling bearing fault diagnosis technology, such as CSl ( 爱默生) Peakvue Entek ( RockwelAutomation) The gses, SKF ESP ( The envelope) And so on, are all effective detection method. Peakvue technology principle Peakvue is Emerson's patented technology ( The United States patent no. : 689553) And Peakvue is the time to capture a given distance in the time domain waveform peak value of vibration signal analysis method. When the present metal friction or collision between attack, can produce stress wave. Early fatigue spalling, gear and bearing defects, friction and wear and has stress wave and impact, and so on. Advanced patent technology Peak Vue is collecting and monitoring the transient stress wave, the frequency of the Peak value of stress wave and its present, stop profiling and converted into a spectrum. About common sampling process, usually by analyzing bandwidth sampling time distance resolution, according to the sampling theorem. For the vast majority of profiling instrument or data collector for the time ( 2. 56 X imax) The inverse of. However, Peak Vue used high-speed sampling technology, about after high-pass filtering signal fixed to 100000 the number of sampling points per second. Then on the peak, Waveform) Stop sampling and disposal, and get the Peakvue waveform and spectrum. Peakvue technology related to the advantages of other diagnostic techniques, such as modem Peak Vue technology has the following advantages 1) Peakvue of real reflects the impact of the equipment, the time domain waveform in time domain waveform amplitude can be identifying faulty serious level 2) The accurate tracking Peakvue trend can equipment fault can be serious, when demand maintenance; 3) Peakvue technology isn't limited to intermediate frequency range, it is able to monitor high and low speed ( If a few rotations per minute (RPM) of the rolling bearing) The impact of the problem, and thus on analyze the low-speed devices for bearing fault is very accurate and effective. RockwelAutomation peak energy ( gSE) Refers to the impact roller micro cracks and defects produced by the vibration energy of the peak. Peak of vibration energy is produced by the repeated transient mechanical impact energy intensity measurement: application within the scope of a certain high frequency acceleration sensor measuring vibration energy. In the high frequency range, the mechanical impact energy will provoke the acceleration sensor machine construction as the natural frequencies of the response frequency of carrier frequency and rolling bearing 暲 frequency modulation. The strength of the impact energy is a function of pulse amplitude and rate repeatedly, which can impact provoked by the acceleration sensor and the common disposal filter and detection circuit, signal measurement of said to so when the rolling bearing fault, its pulse generated by the energy of vibration energy will increase significantly. Therefore, the peak energy is very effective in the rolling bearing status monitoring. Imbalance, misalignment and loose mechanical rotating machinery, such as common fault frequency signal is always shown in mechanical rotating speed frequency and the concentrated in low and medium frequency band ( 5 KHZ rolling bearing and gear such as flaking cracks, corrosion, indentation, internal and external sha-lu, insist on aircraft fault, its operation process have very sharp pulse signal used gSE high-pass filter filter out some of the low frequency vibration signals, such as uneven Zhun namely trouble frequency signal, and save the high frequency of the rolling bearing fault signal analysis. To filter the signal through a fengfeng value filter, the output signal is a sawtooth waveform. The sawtooth signal for further treatment, frequency amplitude (peak energy flux can be obtained GSE value) And peak energy spectrum ( GSE spectrum) By the gses spectrum can truly see rolling bearing defect frequency of barrier, gSE spectrum in the large amplitude spectrum line corresponding to the frequency f is bearing fault components so 暲 frequency, compare with the fault characteristic frequency outside sha-lu BPFI in sha-lu BSF insist on roller frame) , will be able to distinguish the present problem of local bearing. Envelope envelope analysis in fault diagnosis is one of the most efficient way. It can obviously indicates the position and serious level problem. Envelope analysis method is mainly through selecting useful resonance frequency area, after filtering, translation, transformation, inclusion of order frequency of the low frequency envelope signal, the envelope signal spectrum analysis to diagnose faulty, stop also called envelope demodulation. Related to fault signal envelope mediation mediation from the high frequency modulation signal, thereby preventing the mixed with other low frequency interference, has the very high diagnosis reliable and flexible analysis steps of envelope analysis method is: 1, compare with normal and fault signal power spectrum, find business value maximum points, as according to intercept spectrum. 2, fault signal spectrum, spectrum diagram according to the interception by power spectrum band stop filter shift. 3, to intercept the signal amplitude on the double and zero padding, length of two times. 4, the complex frequency domain signal transform in time domain. 5, the time domain signal Fourier transform in frequency domain. 6, the progress frequency resolution, do spectrum.
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