Abstract: A method for predicting a remaining life of a tool of a computer numerical control machine is provided. In the method, indirect measurement indicators of the tool are selected based on monitoring and analyzing a current state of the tool, a prediction model for the remaining life of the tool is established based on data de-noising, feature extraction and a multi-kernel W-LSSVM algorithm. Thereby, a method for predicting a remaining life of a tool of a computer numerical control machine is provided.

Abstract: A method for predicting a remaining life of a tool of a computer numerical control machine is provided. In the method, indirect measurement indicators of the tool are selected based on monitoring and analyzing a current state of the tool, a prediction model for the remaining life of the tool is established based on data de-noising, feature extraction and a multi-kernel W-LSSVM algorithm. Thereby, a method for predicting a remaining life of a tool of a computer numerical control machine is provided.

Abstract: The present invention discloses a method for leak detection and location for fluid pipelines, comprising a pipeline to be detected, characterized in that the pipeline to be detected is at least provided with two sensing devices having a certain distance therebetween. Acquisition points are formed at the positions of the sensing devices. The sensing devices can simultaneously sense acoustic vibrations of the pipeline in two directions, i.e., axial direction and radial direction of the pipeline, respectively. When there is a leak point in the pipeline to be detected between the two acquisition points, locating the leak point is performed according to the following formula: ? { ? L ? ? 12 ? V L + l 1 - l 2 = 0 ? T ? ? 12 ? V T + l 1 - l 2 = 0 ? 2 ? l 1 - ? 1 ? l 2 = 0 l 1 + l 2 = L .