Sentence examples for models for fault from inspiring English sources

This paper proposes a supervised local multilayer perceptron (SLMLP) classifier integrated with independent component analysis (ICA) models for fault detection and diagnosis (FDD) of industrial systems.

The contributions of this work include the development of minimal qualitative circuit models and simulation algorithms, an understanding of their relationship to certain graph-theoretic properties of circuits and the relevance of such models for fault modelling in FMEA tasks.

In order to use this broad class of time DES models for fault detection and diagnosis we derive in this paper the timing analysis of the TPN models with guarded transitions.

Training data under different operation conditions are firstly utilized to design PCA (principal component analysis) models for fault detection and fault classification.

These observations are in agreement with conceptual models for faults in crystalline and well-lithified sedimentary rocks, but diverge from expectations for faults in alluvium and weakly lithified sediments.

This paper presents a novel hybrid model for fault detection and classification of motor bearing.

In this work, a reference model for fault management in industrial processes is proposed.

Three case studies are presented to show the utility of the steady-state SDG model for fault diagnosis.

For the quantitative fault diagnosis of rolling element bearings, a nonlinear vibration model for fault severity assessment of rolling element bearings is established in this study.

Both structural domains likely correspond with the protolith and the damaged zone/fault core in the widely accepted model for fault zone architecture.

The neural network learning algorithm is adapted to train a fuzzy relation matrix between two fuzzy sets which provides a covering model for fault diagnosis.