Co-axis slash gear reduction machine small wave transformation theory. For a long time, the Vibration Fault diagnostic method for the axle slash gear retrenchors has been based on the Vibration Spectrum Analysis method, which distinguishes the type of failure judged by analysis and calculation using the derived frequency characteristics. The methodology provides new tools for the monitoring of the state of gear-reducing machines and the diagnosis of failure。Zip gear reductionSpectrum analysis based on traditional fourier transformations is very effective for smooth, periodic signal analysis. The use of the small wave transformation theory to locate impact signals with a higher accuracy than fft for the multi-frequency harmonic and small mutation signals suggests that the small wave change of the gear-reducing motor is a powerful tool for distinguishing instant impact from a high frequency domain. Traditional vibrating failure diagnosis is mainly based on spectrum analysis, and time-frequency maps derived from small-wave transformations are an effective tool for analysing fault signal heterogeneity and provide new thinking for the failure monitoring and diagnosis of the coaxe slash gears. At present, small wave theory is widely applied in signal processing, image processing, model recognition, seismology and mechanical failure diagnosis. Existing fault diagnostic methods, such as fuzzy mathematical diagnostic methods, artificial neural network diagnostic methods, expert system diagnostic methods, etc. , are mostly based on vibration-based spectrum characteristics. on the basis of the introduction of the small wave-change theory and the three-dimensional time scaleGear-retarding machineAn analysis of the vibrations showed that the time-frequency 3-dimensional graphs not only visualized the tiny and strange elements in the signals, but also effectively monitored the early failure. Its small wave transformation has better time resolution and lower frequency resolution in the HF segment. The small-wave transformation of the coaxial slash gear is both localized within the time and frequency ranges and is an effective tool for analysing the strangeness of the failure signal, using the small-wave-time map of the gear-retarder to visualize the weak and odd components of the signal, and to successfully extract the faint and strange characteristics of the signal, providing new methods and tools for the diagnosis of the failure of the coaxal slash-wheel-retarder。

By way of example analysisMotor gearedSmall-wave transformations can successfully detect and position malfunctions inreducing machines. In the case of large and complex moving equipment, the vibration signal is shown as a non-smooth and non-cyclical feature when the failure occurs, at which point the traditional fourier conversion is no longer fully satisfactory for the analysis requirements. Small-wave transformation means that a function called the basic small wave is moved and then internalized with a signal to be analysed at different scales, small-wave transformation can be seen as a projection of a signal or function at various scales to flatten the signal, the vibration of a gear-reducing electric unit may be caused by an imbalance in the axis, an inaccuracy, a lack of co-axis at high- rotations, and an influence on the corset of gear z1 and z2, leading to a modulation of the vibration signal at the channel, resulting in a cyclical vibration of the booster. Key elements of state monitoring and failure diagnosis include failure signal detection, failure diagnosis and early failure prediction diagnosis. Together, we know that axle gear-reducing small waves are better positioned for gear failure than the traditional fast fourier. An analytical study of the vibration failure signal of the co-axis oscillating gear-reducing vehicle showed that a time-frequency three-dimensional graph derived from small-wave variations was not only able to diagnose the vibration failure but also to give a clear time-frequency distribution. this study suggests that boe theory is being testedGeared motorThe effectiveness of the failure also indicates that it is a better tool for monitoring the performance of the gear-reducing power plant. It is recommended to check the co-axis of the axes and whether they are consistent with, for example, the condensation of gear Z1 and Z2. http://boserlgearreducer.com/product/list-tongzhoujiansuji-cn.html