Automated Fault Diagnosis Technology for Modular Multilevel Converters Based on Infrared Temperature Measurement
The continuous and uninterrupted operation between various modules of modular multi-level inverters is prone to overheating faults,and manual overheating fault detection has obvious drawbacks.Propose an automated di-agnostic method for this fault using infrared temperature measurement as technical support.Analyze the correlation between faults and temperature in modular multi-level inverters.Using an infrared thermal imager to collect tempera-ture images on a periodic basis,by analyzing temperature anomalies and change patterns in the images,combined with infrared temperature measurement algorithms and correlation analysis results,different types of overheating faults usual-ly lead to the occurrence of hot spots or temperature anomalies.Observing and analyzing these abnormal phenomena can accurately determine whether there is a fault and further determine the specific type of fault.Through example testing,this technology can accurately diagnose common fault types of inverters,with detection index and isolation in-dex as high as 0.971 and 0.953,and diagnosis time is short,only 77.94ms.It has excellent diagnostic accuracy and high level of diagnostic efficiency.
infrared temperature measurementmodular multi-level converterfault diagnosisinfrared thermal imagerenvironmental temperature compensationautomated diagnosis
NETL
NSTL
万方数据
维普
