Algorithms for change detection based on finite sample system identification theory

突变的检测具有许多重要的应用。一个特殊的应用，将被调查是泄漏检测灌溉渠道。由于农业占澳大利亚用水量的80%左右，及时发现泄漏意味着可以及早采取纠正措施，从而节省大量用水并带来显著的环境效益。所开发的方法可以被设计为具有任何虚警率。这一点很重要，因为频繁的假警报会导致资源浪费，操作员将停止使用系统。这项技术一旦开发出来，就可以转移到许多其他应用领域，如城市供水、石油和天然气管道以及加工和制造业。

Detection of abrupt changes has many important applications. One particular application that will be investigated is leak detection in irrigation channels. As agriculture accounts for about 80% of Australia's water usage, the timely detection of leaks means that corrective actions can be taken early which will lead to large water savings and significant environmental benefits. The developed methods can be designed with any false alarm rate. This is important since frequent false alarms lead to wasted resources and operators will stop using the system. The technology once developed can be transferred to many other application areas such as urban water supplies, pipelines for oil and gas, and the process and manufacturing industries.