The aim of this paper is presentation of the substantial modification of MFM which enables optimal identification of parameter faults with minimization of time delay.
From the closed-loop analysis results, the H∞ filter is capable of detecting and isolating actuator/sensor faults, as well as estimating parameter faults, even if external disturbances imposed on the air side of the evaporator exist.
At the core of this solution is a bank of adaptive neural parameter estimators (NPEs) associated with a set of single-parameter fault models.
B theo. values are calculated using the parameters (fault parameters and medium parameters) of target earthquakes.
The stability of the system is explicitly characterized as a function of the state sampling rates, fault parameters, fault accommodation measures, and state matrices.
The fault parameters (fault areas, fault slips, rupture velocities, and depths) are 130×32 km2, 50 cm, 9 cm/s and 38 km for Stage 1, and 130×32 km2, 50 cm, and 3 to 0.7 cm/s (exponentially decreasing) and 50.5 km for Stage 2, respectively.
Four types of well logs, which are sensitive to the fractures, and a comprehensive discriminated parameter, named fault zone index are used in identifying the fault zone architecture.
Adaptive laws are designed for updating the controller parameters when both the plant parameters and actuator fault parameters are unknown.
One is several integrated PFT analysis modules, including parameter initialization, fault setting, network integrity detection, reasonableness identification and result analysis.
Detailed parameters of fault segments are shown in Table 2 Table 2 Parameters of fault segments in our model No. Lat.
Considering the difficulty of determining the structural parameters of neural network, EAs are used to optimize the neural network parameters for fault classification and prediction.
