热力发电2024,Vol.53Issue(2) :177-183.DOI:10.19666/j.rlfd.202307125

电力用油红外光谱检测技术

Infrared spectroscopy detection technology for electric power oil

王娟 付龙飞 王笑微 吕秀娟 曹红梅 王垚 张兰庆 康夜雨 潘成福 齐吉锴
热力发电2024,Vol.53Issue(2) :177-183.DOI:10.19666/j.rlfd.202307125

电力用油红外光谱检测技术

Infrared spectroscopy detection technology for electric power oil

王娟 1付龙飞 1王笑微 1吕秀娟 1曹红梅 2王垚 2张兰庆 3康夜雨 3潘成福 3齐吉锴3
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作者信息

  • 1. 西安热工研究院有限公司,陕西 西安 710054
  • 2. 华能山东发电有限公司,山东 济南 250014
  • 3. 华能国际电力股份有限公司德州电厂,山东 德州 253024
  • 折叠

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.

关键词

红外光谱/电力用油/酸值/水分/抗氧化剂

Key words

infrared spectrum/electricity oil/acid value/moisture content/antioxidant

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基金项目

中国华能集团有限公司总部科技项目(HNKJ21-H43)

出版年

2024
热力发电
西安热工研究院有限公司,中国电机工程学会

热力发电

CSTPCD北大核心
影响因子:0.765
ISSN:1002-3364
参考文献量62
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