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多传感器信息融合是将多源信息智能化合成，产生比单一信息源更精确、更完全的估计和判决。传感器测量的准确与可靠是减小融合系统不确定性的前提，通过对多传感器一致性的检验，可以确定多传感器之间的测量误差，判断检测系统可靠性的程度。据此，提出了应用“概率距离测量”对多传感器信息进行一致性检验的方法。对柴油机燃油系统压力的监测实例证明，该方法对确保检测信息反映目标的真实状态具有良好的效果。
Multisensor information fusion is the intelligent synthesis of multi-source information, resulting in a more accurate and complete estimate and decision than a single source. The accuracy and reliability of the sensor measurement are the preconditions to reduce the uncertainty of the fusion system. By testing the consistency of multiple sensors, it is possible to determine the measurement error between multiple sensors and determine the degree of reliability of the detection system. Based on this, a method to test the consistency of multisensor information by using “Probability distance measurement” is proposed. The monitoring of diesel fuel system pressure shows that this method has a good effect on ensuring the detection information reflects the true state of the target.