Infrared spectroscopy detection technology has been widely used in petrochemical

pharmaceutical and other industries due to its fast detection speed

no damage to the sample

no pollution

easy to operate and other characteristics. The infrared spectroscopy detection mainly includes qualitative detection and quantitative detection.The qualitative detection usually uses comparative method

which compares with standard substances or consults standard spectra. The quantitative detection calculates the corresponding components content by measuring the intensity of characteristic absorption bands and combining with chemometrics methods. This article elaborates the applications of chemometric methods(including artificial neural networks and partial least squares) in detection scenes such as acid value

moisture

antioxidants and furfural for electric power oil. Finally

some proposals of infrared spectroscopy in oil detection are put forward.