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2 results about "Multiple regression equation" patented technology

The basic equation of Multiple Regression is – Y = a + b 1 X 1 + b 2 X 2 + b 3 X 3 + … + b N X N The value of b 1 is the slope of regression line of Y against X 1. Same is the case with b 2, b 3 and so on. These values are then used to minimize the difference between actual and expected value of Y.

Meat loss prediction system and meat loss prediction method

PendingJP2026105695AWater flowHydrology
This technology improves the accuracy of predicting material thinning by considering multiple different flow conditions. [Solution] The thinning prediction system comprises a fluid simulator 3 that calculates fluid analysis values ​​by fluid simulation using the amount of thinning in the test piece 10 as a result of a water flow corrosion test and the shape of the test piece 10 for a test piece 10 used in a water flow corrosion test; a multiple regression equation generation unit 4 that generates a thinning prediction equation with the amount of thinning as the objective variable and the fluid analysis values ​​as the explanatory variables; and a thinning amount calculation unit 5 that calculates the amount of thinning in the target pipe based on the shape data of the target pipe and the thinning prediction equation, wherein the thinning prediction equation is a combination of multiple provisional prediction equations generated under different flow conditions in the test piece 10.
Owner:OSAKA GAS CO LTD

Adaptive variable current source ultrasonic flow measurement method based on CTMU

PendingCN122306175AEngineeringData mining
The application provides a CTMU-based adaptive variable current source ultrasonic flow measurement method, and belongs to the technical field of downhole pipeline flow measurement. The method comprises the following steps: adopting a least square method to establish a flow rate influencing factor matrix, a measured flow rate matrix, a residual variable matrix and an unmeasured flow rate matrix; based on the flow rate influencing factor matrix, the measured flow rate matrix, the residual variable matrix and the unmeasured flow rate matrix, a multiple regression equation is established; based on the multiple regression equation, the unmeasured flow rate of fluid in a downhole pipeline is predicted; or, according to the measured flow rate and the flow rate influencing factor, a sum of squared deviations of the measured flow rate is calculated; and based on the sum of squared deviations of the measured flow rate, the unmeasured flow rate is predicted. The application can improve the accuracy of ultrasonic flow measurement and has strong ease of use and practicality.
Owner:CHINA NAT PETROLEUM CORP +1