Infrared spectroscopy detection technology for electric power oil

WANG Juan; FU Longfei; WANG Xiaowei; LYU Xiujuan; CAO Hongmei; WANG Yao; ZHANG Lanqing; KANG Yeyu; PAN Chengfu; QI Jikai

doi:10.19666/j.rlfd.202307125

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Infrared spectroscopy detection technology for electric power oil

更新时间：2025-09-28

- Infrared spectroscopy detection technology for electric power oil
- Thermal Power Generation Vol. 53, Issue 2, Pages: 177-183(2024)
- 作者机构：
  
  1. 西安热工研究院有限公司
  2. 华能山东发电有限公司
  3. 华能国际电力股份有限公司德州电厂
- 作者简介：
- 基金信息：
- DOI：10.19666/j.rlfd.202307125
  CLC： TE626;O657.33
- Published：2024
- 稿件说明：
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WANG Juan, FU Longfei, WANG Xiaowei, et al. Infrared spectroscopy detection technology for electric power oil[J]. Thermal power generation, 2024, 53(2): 177-183.
DOI：

WANG Juan, FU Longfei, WANG Xiaowei, et al. Infrared spectroscopy detection technology for electric power oil[J]. Thermal power generation, 2024, 53(2): 177-183. DOI： 10.19666/j.rlfd.202307125.

摘要

红外光谱检测技术因其检测速度快、对样品无损伤、无污染、易操作等特点，已广泛应用于石油化工、制药等行业的检测中。红外光谱检测方式主要包括定性检测和定量检测，定性检测通常采用比较法，即通过与标准物质对照或查阅标准谱图；定量检测是通过测量特征吸收谱带强度，结合化学计量学方法计算出对应组份含量。阐述了人工神经网络、偏最小二乘法等化学计量学方法在电力用油酸值、水分、抗氧化剂、糠醛等检测中的应用，并对其在油品检测中的应用给出了建议。

Abstract

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.

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