Search results

This paper aims to provide a novel integrated fault detection method for industrial process monitoring.

A novel integrated fault detection method based on the combination of Mallat (MA) algorithm, weight-elimination (WE) algorithm, conjugate gradient (CG) algorithm and multi-dimensional Taylor network (MTN) dynamic model, namely, MA-WE-CG-MTN, is proposed in this paper. First, MA algorithm is taken as data pre-processing. Second, in virtue of approximation ability and low computation complexity owing to the simple structure of MTN, MTN dynamic models are constructed for each frequency band. Furthermore, the CG algorithm is used to discipline the model parameters and the outputs of MTN model of each frequency band are gained. Third, the authors introduce the WE algorithm to cut down the number of middle layer nodes of MTN, reducing the complexity of the network. Finally, the outputs of MTN model for each frequency band are superimposed to achieve outputs of MTN model, and fault detection is proceeded by the residual error generator based on the difference between the output of MTN model and the actual output.

The novel proposed method is used to perform fault detection for industrial process monitoring effectively, such as the Benchmark Simulation Model 1 wastewater treatment process.

The novel proposed method has generality and provides considerably improved performance and effectiveness, which is used to perform fault detection for industrial process monitoring. The proposed method has good robustness, low complexity and easy implementation.

This paper aims to evaluate the bonding properties of textile reinforced concrete (TRC)-confined concrete and corroded plain round bars.

The bonding performance of three types of specimens (not reinforced, reinforced after corrosion and reinforced before corrosion) was studied by a central pull out test.

The ultimate bond strength between the corroded steel bars and the concrete is improved when the corrosion ratio is small. After cracking, the degree of corrosion continues to grow and the ultimate bond strength decreases. TRC reinforcement has no detectable effect on the interfacial bonding properties between concrete and plain round bars when the corrosion of steel bars is small; however, when the concrete cracks under the action of rust corrosion, the TRC constraints can effectively improve the bonding performance of the two components.

TRC layer significantly delayed the chloride penetration rate, which can effectively limit the development of corrosion cracking.