Sentence examples for detecting gear from inspiring English sources

Experimental results have revealed that the averaged multi-scale morphological dilate-erode gradient (AMMGDE) filter achieves the best performance for detecting gear defects.

As such, we propose a new technique to detect gear faults under such conditions based on the multi-scale chirplet path pursuit (MSCPP) algorithm and the fractional Fourier transform (FrFT) method.

As is well known, it may be more difficult to detect gear faults at low speed because low-frequency characteristics are easily masked by heavy noise [18].

The beta kurtosis of original signal average is also shown here to be useful in detecting excessive gear run-out.

As the FrFT is suitable for multi-component LFM signal analysis, it is then applied to demodulating this vibration signal segment and hence detecting local gear faults based on the revealed modulation phenomenon.

Because a gyroscope and accelerometer detect the Gear's movement, a user can answer incoming calls by lifting his wrist to his ear.

The results show that the proposed method can detect the gear fault in both simulation signals and experiment signals, and achieves improved demodulation performance than the other two methods.

This paper presents a methodology for detecting and diagnosing gear faults in the planetary stage of a helicopter transmission.

The validity of MDM is confirmed by detecting bearing and gear faults, which demonstrates the advantages and potential practical applications of the method for recognizing mechanical fault patterns.

The effectiveness of the new proposed method for the sparse TFR in detecting bearings and gears defects in rotating machines is further verified using many practical cases.

Planetary gearbox fault diagnosis relies on detecting the presence of gear characteristic frequencies or monitoring their magnitude changes.