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Health state of a system can be acquired through assessing the monitored parameters, which is a foundation to perform preventive maintenance for ensuring the operating safety before failure occurs. For electronic system, false alarm often happens due to random disturbance which causes unnecessary replacement. An integrated health evaluation method is proposed to construct a health index based on the statistics distribution of multiple performance parameters. Distance measurement is used to reduce the dimension of the time series of multiple parameters by transform them into a Mahalanobis distance. A system health index is built by the weighted sum of each bin’s contribution of the histogram with an optimal kernel bin-width. A case study is performed on computer simulation and experiments. Results are given for the situation of single and multiple parameters abnormal, which demonstrates the effectiveness of the method and the ability to decrease false alarm.