Combined fault detection and classification of internal combustion engine using neural network

Different faults in internal combustion engines leads to excessive fuel consumption, pollution, acoustic emission and wear of engine components. Detection of fault is also difficult for maintenance technicians due to broad range of faults and combination of the faults. In this research the faults due to malfunction of manifold absolute pressure, knock sensor and misfire are detected and classified by analyzing vibration signals. The vibration signals acquired from engine block were preprocessed by wavelet analysis, and signal energy is considered as a distinguishing property to classify these faults by a Multi-Layer Perceptron Neural Network (MLPNN). The designed MLPNN can classify these faults with almost 100 % efficiency

Development of a nonlinear FE modelling approach for FRP-strengthened RC beam-column connections

This paper reports on a numerical attempt toward developing a nonlinear finite element (FE) modelling approach to predict the inelastic behaviour of reinforced concrete (RC) beam-column connections retrofitted using externally bonded fibre reinforced polymer (FRP) composites. The reliability of the modelling approach and analysis results is verified against a series of experimental tests conducted in the current study and available in the literature. These tests implemented two retrofitting schemes including web- and flange-bonded configurations; commonly used for retrofitting of the beam-column joints. The retrofitting method in all adopted experimental tests is aimed at relocating the plastic hinges away from the column face further into the beam. The FE results are compared with the experimental findings in terms of load-displacement curves, failure modes, and plastic hinge locations. A good agreement is observed between the FE results and experimental observations. It is concluded that the proposed FE analysis can be reliably used as a cost-effective tool to predict the elastic and inelastic behaviour of FRP retrofitted RC beam-column connection and to investigate the effect of parameters that are beyond the scope of the experimental tests. © 2015 Elsevier B.V