4results about How to "Test data is stable" patented technology

The invention discloses a motor rotor loss detection device, and relates to the technical field of compressor detection, in particular to a compressor motor rotor loss detection device. According to the invention, the two stators are adopted for excitation in opposite directions, and the stray loss of the rotor is detected and judged according to the size of a power value detected by the detection coil; the base is of a circular groove structure; a shaft is vertically assembled in the center of the base through a bushing and a limiting spring; a sheath is assembled on the upper part of the circumferential table of the base; the top and the bottom of the sheath are each provided with a set of stator, and the stators are packaged through an upper cover plate, a lower cover plate and bolts. The stator is electrically connected with the detection circuit; and a tested rotor is sleeved on the shaft. According to the technical scheme, the problems that in the prior art, an open transformer detection method cannot judge groove breakage, tail end circular ring perforation, poor bevel angle, poor stray loss and the like, and a rotor induced potential oscilloscope test method cannot detect and judge stray loss are solved.

The present invention provides a method for detecting pipe bursts in a water supply network based on a simple lightweight neural network. Pipe bursts are very likely to occur in water supply networks, resulting in a large amount of water resource waste. Various data-driven methods have been widely used in pipe burst detection, especially prediction-based methods, but existing prediction-based methods occupy a lot of memory. To this end, the present invention proposes a method for detecting pipe bursts in a water supply network based on a simple lightweight neural network. The method uses historical monitoring data of the water supply network under normal working conditions to predict real-time monitoring data of the water supply network, and detects various pipe burst events by performing anomaly detection on the real-time monitoring data of the water supply network. In order to improve the accuracy and efficiency of pipe burst detection, the present invention uses the K-S test to screen the features of the training data and the test data, so as to find more stable features of the training data and the test data.

A kind of power module dynamic switch parameter calculation method, comprising: using dynamic double-pulse test waveform to power module, the center point position of each pulse is calculated out;Waveform data of gate voltage waveform Vge, current waveform Ic and bus voltage waveform Vce are respectively carried out zero drift processing;According to the three waveform data obtained after eliminating zero drift, the basic parameters Vge- Pos 、Vge‑ Neg 、U dc 、I CM , first pulse turn-off Turn- off And the waveform data of second pulse turn-on Turn- on Time period in double pulse are respectively obtained, and the turn-off and turn-on process parameters are calculated, and the starting value and end value of each corresponding parameter are calculated according to the percentage of each parameter in turn-off and turn-on process, and finally the corresponding parameters are obtained.The present application does not need to use filter, and is realized based on software algorithm, which can ensure that the test data fluctuation is not too large due to waveform oscillation or waveform difference, and can make the test result close to the actual value, so as to ensure the authenticity of data.

The present application relates to the technical field of chassis suspension system testing, and specifically discloses a vehicle unsprung mass measurement method, device, equipment and storage medium, the method comprising: controlling a target vehicle to move vertically up and down at a horizontal plane, the stiffness characteristic of the suspension system of the target vehicle being linear; obtaining spring elasticity and wheel normal pressure of at least two sampling points in the vertical up-and-down movement process of the target vehicle, the wheel normal pressure being the pressure given to the vehicle by the horizontal plane in the vertical direction; determining the mapping relationship between the spring elasticity and the wheel normal pressure based on the obtained spring elasticity and wheel normal pressure; calculating the target wheel normal pressure corresponding to zero spring elasticity according to the mapping relationship, and calculating the unsprung mass according to the target wheel normal pressure. The present application improves the accuracy of unsprung mass measurement.