Substation Equipment Spare Parts’ Inventory Prediction Model Based on Remaining Useful Life

Algorithm 1

Computation of RUL by SVR.

	Input:  =  .
	Output: the RUL value of the kth component .
	Step 1. The data matrix is assigned to training set and test set in the ratio of 4 : 1.
	Step 2. Get the prediction model by the training data. The regression hyperplane expression is obtained by inputting a certain class of components processed data into equation (2), i.e.,
	Step 3. Validity test, let be the number of rows of test data, for the given , if
	go to Step4, otherwise, go to (2), and adjust the penalty coefficients and until they are satisfied.
	Step 4. Substitute the kth data of the in-use device into (14) and output . This is the value of the life course of the actual life of the kth component.
	Step 5. Calculate the damage date of the kth in-service spare part:
	Step 6. Compute the number of days left in the life of the kth in-service spare part: