Continuous online flaws detection with photodiode signal and melt pool temperature based on deep learning in laser powder bed fusion

•Setting the acquisition rate of the photodiode sensor can avoid photodiode signals aliasing.•Robust correlation can be established between photodiode signal and average melt pool temperature through the neural network.•Time series model is suitable for flaw detection based on the melt pool photodiode signal.