Abstract: Aiming at the difficulty of extracting the characteristic of vibration signal of internal
combustion engine, internal combustion engine fault diagnosis problem is transformed into image
recognition problem. A novel internal combustion engine visualization fault diagnosis method
based on recurrence plots (RP) and improved local binary pattern (ILBP) is proposed. To
characterize the internal combustion engine signal in different fault states, RP analysis method is
used in the processing of the cylinder head vibration signal. Then the ILBPcoding method is used to
extract the texture characteristics of internal combustion engine RP images. The ILBP coding gray
orthogonal sequence of RP is used as characteristic parameters, and the support vector machine
(SVM) is used to recognize the fault pattern recognition. Through the analysis of four different
status of IC engine valve fault signal, a high fault recognition rate is arrived, which shows that this
method has strong ability of fault feature description, which can be used for accurate diagnosis of
IC engine valve fault.

Key words: visualization, fault diagnosis, recurrence plots, local binary pattern, gray histogram