Machine learning has been widely applied in structural health monitoring. While most existing methods, which are limited to forecasting state evolution of large infrastructures. forecast the a step-by-step manner, extracting feature trends and negative effects data collection under abnormal conditions big challenges. To address these issues, long-term trend method based on long sequence time-se...