🔌 Understand how a Bridge Full Wave Rectifier works during the negative half cycle👇
Model: zurl.co/NWZa2
✔️ Diodes D3 & D4 conduct (forward-biased)
✔️ D1 & D2 are off (reverse-biased)

#bridgefullwaverectifier #ac2dc #diodeoperation #powercircuits

Fault Detection Method for Power Conversion Circuits Using Thermal Image and Convolutional Autoencoder A fault detection method for power conversion circuits using thermal images and a convolutional autoencoder is presented. The autoencoder is trained on thermal images captured from a commercial power module at randomly varied load currents and augmented image2 generated through image processing techniques such as resizing, rotation, perspective transformation, and bright and contrast adjustment. Since the autoencoder is trained to output images identical to input only for normal samples, it reconstructs images similar to normal ones even when the input images containing faults. A small heater is attached to the circuit board to simulate a fault on a power module, and then thermal images were captured from different angles and positions, as well as various load currents to test the trained autoencoder model. The areas under the curve (AUC) were obtained to evaluate the proposed method. The results show the autoencoder model can detect anomalies with 100% accuracy under given conditions.

🔥🔍 spot faults in power conversion circuits with thermal images and a convolutional autoencoder, achieving perfect accuracy even with varied loads and simulated fault conditions
https://arxiv.org/abs/2505.08150v1
#faultdetection #thermalimaging #autoencoder #powercircuits #deeplearning