This study addresses the challenge of fault diagnosis in photovoltaic inverter circuits by designing a method that combines Variational Mode Decomposition (VMD) with wavelet energy analysis. The method initially employs the VMD algorithm to perform multi-scale decomposition on signals such as current and voltage during the inverter's operation, revealing the intrinsic modal characteristics at different frequencies. Subsequently, by calculating the wavelet energy of each mode, it extracts the anomalous energy distribution characteristics of the inverter circuit under fault conditions. This method effectively isolates subtle changes related to faults from complex non-stationary signals and enhances the accuracy and real-time performance of fault diagnosis. It provides a powerful tool for the early detection and precise identification of inverter circuit faults during the operation and maintenance of photovoltaic power stations.
In order to better protect the environment, major cities have issued relevant garbage classification policies. At this stage, garbage classification mainly relies on manual sorting, which is cumbersome and unsafe. In order to efficiently classify and recycle garbage, use single-chip microcomputers and garbage bins. Combine it to create a trash bin capable of smart garbage sorting. The intelligent garbage sorting box uses STM32 single-chip microcomputer as the control center. It uses the garbage detection module, the motor transmission module, the full detection module of the garbage bin, the display module, the Zigbee information transmission and the upper computer module, which can quickly classify the garbage and remotely monitor it. A new type of garbage storage box. The intelligent sorting box can improve the efficiency of garbage sorting, simplify the garbage sorting process, realize the effective recycling of garbage, and improve the environmental quality.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.