Creating method of classification model about hard disk efficiency problem, analysis method of hard disk efficiency problem and classification model creating system about hard disk efficiency problem

A classification model creating system of a hard disk efficiency problem comprising:

• a plurality of vibration parameter sensors configured to measure values of a plurality of vibration parameters of each of a plurality of hard disk devices;
• and
• an analyzing device connected to the plurality of vibration parameter sensors and configured to obtain a plurality of pieces of measurement data of the plurality of hard disk devices, binarize the plurality of pieces of measurement data based on a plurality of preset conditions respectively corresponding to the plurality of vibration parameters, and obtain the classification model about the hard disk efficiency problem based on the plurality of pieces of binarized measurement data and a decision tree algorithm, wherein each of the plurality of pieces of measurement data comprises the plurality of vibration parameters,
• wherein obtaining the classification model about the hard disk efficiency problem based on the plurality of pieces of binarized measurement data and the decision tree algorithm comprises:
• determining a first decision node based on one or both of cross entropy and information gain to divide at least one part of the plurality of pieces of binarized measurement data into two measurement data sets, wherein the first decision node is associated with one of the plurality of vibration parameters;
• defining that i is a positive integer and its initial value is 2 and performing a classification operation, with the classification operation comprising:
• determining a ith decision node based on one or both of the cross entropy and the information gain to divide one of the two measurement data sets classified by a (i−1)th decision node into another two measurement data sets, wherein the ith decision node is associated with another one of the plurality of vibration parameters;
• determining whether a value of i is equal to a number of the plurality of vibration parameters or not, wherein the number of the plurality of vibration parameters is greater than or equal to 2;
• if the value of i is not equal to the number of the plurality of vibration parameters, adding 1 to the value of i and performing the classification operation again;
• and
• if the value of i is equal to the number of the plurality of vibration parameters, constituting the classification model about the hard disk efficiency problem based on the first decision node and one or more results generated by performing the classification operation one or more times.