An interval-based method for predicting the performance of CNC machine tools

Abstract

The invention discloses a numerical control machine tool machining performance prediction method based on intervals. The numerical control machine tool machining performance prediction method includes a first step of acquiring a plurality of measured values of each type of measured data, a second step of converting each measured value of each type of measured data into an interval mode, a third step of extracting time domain or time-frequency domain features, a fourth step of observing the extracted time domain or time-frequency domain features to obtain an optimized generalized hidden markov model, a fifth step of finding out a state transition probability matrix as a markov chain transition matrix from the optimized generalized hidden markov model, a sixth step of selecting an interval initial state probability vector to form a performance prediction model A (n) with the markov chain transition matrix, and a seventh step of solving the biggest value in the model, namely, the prediction state of numerical control machine tool machining performance. The numerical control machine tool machining performance prediction method processes occasional uncertainty through probability, and obtains uncertainty caused by lack of knowledge through the intervals, and enables the prediction accuracy to be remarkably improved, and has quite strong prediction robustness.

Description

technical field [0001] The invention relates to the field of engineering equipment performance prediction, in particular to a method for predicting the processing performance of a numerically controlled machine tool. Background technique [0002] The level of development of the manufacturing industry is one of the important symbols to measure the comprehensive strength of a country, and it is the key factor for a country to compete in the international market, and the CNC machine tool is the workhorse of the manufacturing industry. Under complex machining conditions such as high speed, overload, and large displacement, the performance of the machine tool will be degraded due to factors such as vibration, impact, and deformation during the machining process, resulting in the spindle, gear, screw, guide rail, etc. of the machine tool. Mechanical components such as bearings produce various failures, which cause problems such as motion errors, component wear and even unexpected ...

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Problems solved by technology

[0005] Chinese patent document 201110200365.5 discloses a multi-domain information fusion method, and specifically gives the generalized hidden Markov model of CNC machine tools. It mainly proposes an information fusion method, and does not involve performance prediction of CNC machine tools

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