4 results about "Pitch error" patented technology

The invention discloses a sound wave detection method and system for an underground pipeline, and the method comprises the following steps: 1, dynamically adjusting the detection height in the radial direction of a pipeline through a lifting adjustment device of a first sound wave detection mechanism, and enabling a sound wave transmitting end to adapt to the inner walls of pipelines with different pipe diameters; 2, a rotation driving device of a second sound wave detection mechanism controls a sound wave transmitting end to conduct multi-angle rotation scanning around the axis of the pipeline, and the circumferential area of the cross section of the pipeline is covered; 3, based on the pipeline inner diameter D, the material acoustic characteristics and the preset coverage rate eta, motion parameters are generated through a dynamic optimization algorithm; 4, collecting a reflected sound wave signal and carrying out multi-stage processing; through the implementation of the method, a dynamic optimization algorithm of full-dimensional scanning coverage enables the screw pitch error of a spiral track to be small, 100% non-blind area coverage of the cross section of the pipeline is achieved, the self-adaptive focusing lens controls the sound beam focusing angle error to be within + / -2 degrees, and the detection sensitivity of the thin-walled pipe is improved.

To provide a determination method of a gear working condition and a determination program of a gear working condition which can reduce vibration, in finishing of a gear.SOLUTION: A determination method of a gear working condition includes: a first step of measuring the shape of workpiece having a gear shape, and thereby acquiring a pitch error of the workpiece; a second step of performing frequency analysis of the pitch error, and thereby acquiring a rotation order component of a cumulative pitch error; a third step of multiplying the rotation order component of the pitch error by the number of rotation when the workpiece is worked, and thereby acquiring a frequency component of working load fluctuation by the pitch error; and a fourth step of setting the number of rotation when the workpiece is worked, so that a peak frequency of the working load fluctuation and resonance frequency of a gear working device are shifted from one another.SELECTED DRAWING: Figure 3

The present application relates to the field of music information retrieval and computer-aided music, and specifically discloses a vocal music pitch detection method, device, equipment and medium. The present application effectively solves the core problem that artistic singing fluctuations and pitch errors are difficult to distinguish in the prior art by introducing an automatic singing skill recognition and differentiated processing mechanism based on deep learning. The method first preprocesses the audio signal and extracts acoustic features, and then uses a trained neural network model to automatically identify specific singing skill segments such as vibrato, slide, and transition. In the pitch trajectory analysis stage, the system adaptively selects the corresponding smoothing processing strategy according to the identified skill type: band-pass filtering is applied to the vibrato segment to retain its natural fluctuation pattern, derivative-constrained smoothing is used for the slide segment to ensure transition continuity, and stepwise smoothing based on note segmentation is implemented for the transition segment.

The invention provides a gear machining condition determination method and a gear machining condition determination program which can reduce vibration when a gear is subjected to finish machining. A gear machining condition determination method according to the present invention comprises: a first step in which a pitch error of a gear-shaped workpiece is obtained by measuring the shape of the workpiece; a second step of obtaining a rotation number component of an accumulated pitch error by performing frequency analysis on the pitch error; a third step of obtaining a frequency component of a machining load variation caused by the pitch error by multiplying the rotation number component of the pitch error by a rotation speed at the time of machining the workpiece; and a fourth step of setting a rotational speed at the time of machining the workpiece such that a peak frequency of the machining load variation is shifted from a resonance frequency of the gear machining device.