This paper proposes the application of the dual-tree complex wavelet transform on fault monitoring and identification in aeronautical structures. For this purpose, a multiscale analysis from phase of the complex wavelet ...

This paper presents a methodology to perform the monitoring and identification of flaws in aircraft structures using an ARTMAP-Fuzzy-Wavelet artificial neural network. This technique is used in the detection and characterization ...

This chapter presents a Wavelet-Artificial Immune System (WAIS) algorithm to diagnose failures in aeronautical structures. Basically, after obtaining the vibration signals in the structure, the wavelet module is used to ...

Bioprocesses are characterized by the fact that small variations in operating conditions may have a substantial impact on the final batch quality. Therefore, the early detection and isolation of faults allow implementing ...

A fault tolerant measurement system for a gas turbine in a combined cycle power plant, based on dynamic models, principal component analysis (PCA) and Q test, is presented. The proposed scheme makes use of a model-based ...

In this paper, a model-based strategy for statorinterturn short-circuit detection on induction motors is presented. The proposed strategy is based on the generation of a vector of specific residual using a state observer. ...

The D-statistic is widely used in Statistical process control to reliably detect the out of control status, but by itself it offers no assistance as fault identification tool. Some strategies, that work in the original or ...

The application of the HFRT (High-Frequency Resonance Technique), a demodulation based technique, is a technique for evaluation the condition of bearings and other components in rotating machinery. Another technique MED ...

The state observers can reconstruct and monitor unmeasurable states. A new concept of fault detection and isolation using state observers is presented. The method selects the parameters from components that may fail during ...