The invention belongs to the field of gear
machining detection, and particularly relates to a cylindrical gear ghost order detection method and detection equipment based on
tooth surface waviness analysis. The method comprises the following steps: firstly, acquiring
tooth surface deviation data of each tooth in a gear, carrying out
resampling, inclination error correction and de-modification on the
tooth surface deviation data, and then combining the tooth surface deviation data into full-tooth deviation curves in four directions; and then extracting
waviness data and generating a full-tooth
waviness curve. After RC is carried out on a full-tooth waviness curve, on one hand, the full-tooth waviness curve is converted into a
frequency domain signal for selecting a frequency range, on the other hand,
spectral analysis is carried out on a waviness
signal through an iterative
sine wave fitting algorithm within the specified frequency range,
sine wave components are extracted, and a corresponding order spectrum is generated. And finally, when a
sine wave component of which the amplitude is greater than or equal to 0.02 mu m and which is in a non-integral multiple
harmonic order with the
tooth number exists in the order spectrum of the target gear, detecting the gear ghost order. According to the invention, the problem of lack of a high-precision and high-efficiency waviness analysis and gear ghost order detection method in the prior art is solved.