中文摘要：

机械设备性能退化评估技术在提高设备的可靠性和利用率、缩短停机维修时间、实现设备主动维护和智能维护方面有着重要的意义，是故障诊断技术的重要组成部分。综述国内外机械设备性能退化评估与预测的理论和方法．将这些方法分为两类，基于物理模型的方法和基于数据驱动的方法，重点论述基于数据驱动的方法及取得的进展．主要包括基于统计理论方法和人工智能方法等，总结比较每种方法的优缺点，并对机械设备性能退化评估与预测技术的发展方向进行展望。

英文摘要：

Machinery performance degradation assessment technology plays a significant role in proactive maintenance and intelligent maintenance, it is able to improve reliability and utilization, reduce downtime and maintenance time, and it is also an important component of fault diagnosis technology. It makes attempt to summary and review the methods of machinery performance degradation assessment and prognostics, and set these methods into two categories： physics-based approach and data-driven approach. It takes an emphasis on data-driven approach which contents statistic-based methods and artificial intelligence methods and so on. The advantages and disadvantages of each method are compared. Finally, it points out a helpful direction on machinery performance degradation assessment and prognostics for future research.