A novel open-transistor fault detection method in symmetric cascaded H-bridge multilevel inverter

2016 ◽  
Author(s):  
Nithin Raj ◽  
Anjali Anand ◽  
Ahammed Riyas ◽  
Jagadanand G ◽  
Saly George
Keyword(s):  
Fault Detection ◽  
Detection Method ◽  
Multilevel Inverter

An open-switch fault detection method for cascaded H-bridge multilevel inverter fed industrial drives

2016 ◽  
Author(s):  
Kalpani Thantirige ◽  
Akshay Kumar Rathore ◽  
Sanjib Kumar Panda ◽  
Suvajit Mukherjee ◽  
Michael A. Zagrodnik ◽  
...  
Keyword(s):  
Fault Detection ◽  
Detection Method ◽  
Multilevel Inverter ◽  
Open Switch

scholarly journals Asymmetric Multilevel Inverter Topology and Its Fault Management Strategy for High-Reliability Applications

Energies ◽  
2021 ◽  
Vol 14 (14) ◽  
pp. 4302
Author(s):  
Mohammad Fahad ◽  
Mohd Tariq ◽  
Adil Sarwar ◽  
Mohammad Modabbir ◽  
Mohd Aman Zaid ◽  
...  
Keyword(s):  
Fault Tolerance ◽  
Fault Detection ◽  
Detection Method ◽  
Fault Tolerant ◽  
High Reliability ◽  
Open Circuit ◽  
Multilevel Inverter ◽  
Level Control ◽  
Machine Learning Classification ◽  
Inverter Topology

As the applications of power electronic converters increase across multiple domains, so do the associated challenges. With multilevel inverters (MLIs) being one of the key technologies used in renewable systems and electrification, their reliability and fault ride-through capabilities are highly desirable. While using a large number of semiconductor components that are the leading cause of failures in power electronics systems, fault tolerance against switch open-circuit faults is necessary, especially in remote applications with substantial maintenance penalties or safety-critical operation. In this paper, a fault-tolerant asymmetric reduced device count multilevel inverter topology producing an 11-level output under healthy conditions and capable of operating after open-circuit fault in any switch is presented. Nearest-level control (NLC) based Pulse width modulation is implemented and is updated post-fault to continue operation at an acceptable power quality. Reliability analysis of the structure is carried out to assess the benefits of fault tolerance. The topology is compared with various fault-tolerant topologies discussed in the recent literature. Moreover, an artificial intelligence (AI)-based fault detection method is proposed as a machine learning classification problem using decision trees. The fault detection method is successful in detecting fault location with low computational requirements and desirable accuracy.

A Fault Detection Approach Based on Sound Signal Analysis for Equipment Monitoring

2020 ◽  
pp. 129-139
Author(s):  
Weihai Sun ◽  
Lemei Han
Keyword(s):  
Fault Detection ◽  
Signal Analysis ◽  
Energy Analysis ◽  
Detection Method ◽  
Sound Signal ◽  
Practical Significance ◽  
Time Frequency ◽  
Detection Approach ◽  
Machine Fault ◽  
Learning Data

Machine fault detection has great practical significance. Compared with the detection method that requires external sensors, the detection of machine fault by sound signal does not need to destroy its structure. The current popular audio-based fault detection often needs a lot of learning data and complex learning process, and needs the support of known fault database. The fault detection method based on audio proposed in this paper only needs to ensure that the machine works normally in the first second. Through the correlation coefficient calculation, energy analysis, EMD and other methods to carry out time-frequency analysis of the subsequent collected sound signals, we can detect whether the machine has fault.

A fault detection method for new PV module strufure

2010 ◽  
Vol 24 (2) ◽  
pp. 131-136 ◽  
Author(s):  
Ze Cheng ◽  
Bingfeng Li ◽  
Li Liu ◽  
Yanli Liu
Keyword(s):  
Fault Detection ◽  
Detection Method ◽  
Pv Module
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