信息融合技术在传感器故障诊断中的应用

研究了扭转材料试验机传感器的故障诊断系统,为提高传感器的故障诊断精度,在对诊断方案进行分析、研究、仿真、比较和验证的基础上,结合工程实际的特殊要求和相关经验,确定了最合适的一种--多传感器信息融合故障诊断方案.通过对传感器的故障建立数学模型并进行计算机仿真,仿真结果表明该故障检测方法对于材料试验机的传感器常见的故障均能进行识别和告警,效果令人满意.

Application of Sensor Fault Diagnosis Based on Information Fusion Techniques

In order to improve the reliability of fault detection and diagnosis(FDD) for material test machine,it is important to make full use of the information from being test material knowledge and material measurements.An application of information fusion in FDD is presented.In the proposed method,the fusion adopts multiple FDD strategies aiming at angle sensor and torque sensor etc of the system,then the results of these strategies are fused.Through regression analysis on the fused data,the information fusion techniques are showed to be practical and effective.