故障诊断和故障容差控制：支持向量机方法

摘要：由于技术系统对可靠性、安全性、稳定性和生存性需求的提高，故障容差控制系统变得极其重要。故障容差控制系统经过不断发展，常用于克服回馈控制系统的缺陷。在复杂的系统中，例如降落伞、核电站、化学工厂等，系统中的微小错误都可能是毁灭性的。因此，在这些系统中设计能够容差故障的系统是非常必要的。一个具有故障容差能力的系统被叫做故障容差控制系统。支持向量机是最流行的智能学习工具之一，凭借超级的泛化能力、分类、回归与建模表现成为构建神经网络模型的首选工具。

Abstract: Because of increasing need for reliability, safety, maintainability and survivability in technological systems, fault tolerant control system has become extremely important. Fault tolerant control systemshave been developed to overcome some weaknesses of the conventional feedback control design,such as instability and unsatisfactory performance in the faulty cases. In complex systems such as aircrafts, nuclear power plants, chemical plants etc., the results of a minor fault in the system can be destructive. Therefore, it is necessary to design control systems  that are able to tolerate potential faults in these systems. A control system  with this kind of fault tolerance capability is defined as fault tolerant control system. Support vector machines is one of the most popular intelligent machine learning tools. They have become a very good alternative of neural net-works with their superior generalization capacity, classification, regression and modeling performance.