As the growing requirements for the stability and safety of process industries,the fault detection and diagnosis of pneumatic control valves have crucial practical significance.Many of the approaches were presented in...As the growing requirements for the stability and safety of process industries,the fault detection and diagnosis of pneumatic control valves have crucial practical significance.Many of the approaches were presented in the literature to diagnose faults through the comparison of residual sequences with thresholds.In this study,a novel hybrid neural network model has been developed to address the issue of pneumatic control valve fault diagnosis.First,the feature extractor automatically extracts in-depth features of the signals through multi-scale convolutional neural networks with different kernel sizes,which not only adequately explores the local distinguishable features,but also takes into account the global features.The extracted features are then fused by the feature fusion layer to reduce redundant features.Finally,the long short-term memory for fault identification and the dense layer for fault classification.Experimental results demonstrate that the average test accuracy is above 94%and 16 out of the 19 conditions can be successfully detected in the simulated actual industrial environment.The effectiveness and practicability of the proposed method have been verified through a comparative analysis with existing intelligent fault diagnosis methods,and the results suggest that the developed model has better robustness.展开更多
换流站内发生的交流系统故障会对交直流系统产生严重的危害。通过对换流阀换相电压的特性分析指出:站内发生交流接地时会伴随桥臂短路及交流系统复故障的出现;相间故障则表现为不平衡换相。通过接地故障发生后换流阀的电流时间函数来说...换流站内发生的交流系统故障会对交直流系统产生严重的危害。通过对换流阀换相电压的特性分析指出:站内发生交流接地时会伴随桥臂短路及交流系统复故障的出现;相间故障则表现为不平衡换相。通过接地故障发生后换流阀的电流时间函数来说明故障电流呈现交流多相短路的特征。通过故障等效交流电路来研究交直流保护特性,并得出结论:对于接地故障,电流互感器(current transformer,CT)安装在不同位置时,阀短路保护、桥差保护均能正确动作;但发生相间故障时,却会造成某些工况下保护不能动作;在连接高端阀的交流系统接地时交流保护的距离元件有时会有超越现象。最后提出采用零序补偿分量的方法来提高启动元件的性能。CIGRE高压直流(high voltage direct current,HVDC)模型验证了分析结论。展开更多
基金funded by the“Ningxia Key Research and Development Project”,grant number“2022BEE02002”.
文摘As the growing requirements for the stability and safety of process industries,the fault detection and diagnosis of pneumatic control valves have crucial practical significance.Many of the approaches were presented in the literature to diagnose faults through the comparison of residual sequences with thresholds.In this study,a novel hybrid neural network model has been developed to address the issue of pneumatic control valve fault diagnosis.First,the feature extractor automatically extracts in-depth features of the signals through multi-scale convolutional neural networks with different kernel sizes,which not only adequately explores the local distinguishable features,but also takes into account the global features.The extracted features are then fused by the feature fusion layer to reduce redundant features.Finally,the long short-term memory for fault identification and the dense layer for fault classification.Experimental results demonstrate that the average test accuracy is above 94%and 16 out of the 19 conditions can be successfully detected in the simulated actual industrial environment.The effectiveness and practicability of the proposed method have been verified through a comparative analysis with existing intelligent fault diagnosis methods,and the results suggest that the developed model has better robustness.
文摘换流站内发生的交流系统故障会对交直流系统产生严重的危害。通过对换流阀换相电压的特性分析指出:站内发生交流接地时会伴随桥臂短路及交流系统复故障的出现;相间故障则表现为不平衡换相。通过接地故障发生后换流阀的电流时间函数来说明故障电流呈现交流多相短路的特征。通过故障等效交流电路来研究交直流保护特性,并得出结论:对于接地故障,电流互感器(current transformer,CT)安装在不同位置时,阀短路保护、桥差保护均能正确动作;但发生相间故障时,却会造成某些工况下保护不能动作;在连接高端阀的交流系统接地时交流保护的距离元件有时会有超越现象。最后提出采用零序补偿分量的方法来提高启动元件的性能。CIGRE高压直流(high voltage direct current,HVDC)模型验证了分析结论。
