In such situations, synthetic aperture radar interferometry (InSAR) data give valuable information in estimating fault slip distribution as well as fault geometry, because they can provide spatially very dense crustal displacement data even in a remote area, where the coverage of Global Navigation Satellite System (GNSS) and seismic networks is sparse.
However, the algorithms in [16] did not consider time delay information in the designed fault detection observer and the threshold.
However, MSDE only utilizes the fault information in the low frequency components and consequently the fault information hidden in the high frequency components is discarded.
To some extent, the results presented here include the existing results as a special case and the resultant control algorithms are fault-independent in that there is no need for explicit fault information in terms of its magnitude (size), or time instance of the fault occurrence, thus, is more user-friendly for control design and more feasible for implementation as compared with the existing work.
They can provide the administrator with effective fault information in initial phase and therefore reduce the loss caused by faults.
Moreover, the fragility functions provide additional valuable information in regards to far-fault and near-fault records effects under different damage states.
The modular plug-in nature associated to a well-known monitoring scheme aims at facilitating the access to the benefits of using more information about the system structure in fault analysis and diagnosis.
However, it is challenging for the SR technique to identify sensitive fault information in non-stationary signals.
To address this shortcoming, a new method, namely HSDE, is proposed to extract the fault information in the high frequency components.
With respect to the design of visual information display (VID) for process control, this study experimentally evaluated the effectiveness of functionally abstracted information in the task of fault diagnosis.
