CN110879222A - Construction method of quantitative analysis curve of furfural in transformer oil and detection method of furfural content - Google Patents
Construction method of quantitative analysis curve of furfural in transformer oil and detection method of furfural content Download PDFInfo
- Publication number
- CN110879222A CN110879222A CN201911074201.5A CN201911074201A CN110879222A CN 110879222 A CN110879222 A CN 110879222A CN 201911074201 A CN201911074201 A CN 201911074201A CN 110879222 A CN110879222 A CN 110879222A
- Authority
- CN
- China
- Prior art keywords
- furfural
- transformer oil
- quantitative analysis
- stock solution
- raman
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Images
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/62—Systems in which the material investigated is excited whereby it emits light or causes a change in wavelength of the incident light
- G01N21/63—Systems in which the material investigated is excited whereby it emits light or causes a change in wavelength of the incident light optically excited
- G01N21/65—Raman scattering
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N1/00—Sampling; Preparing specimens for investigation
- G01N1/28—Preparing specimens for investigation including physical details of (bio-)chemical methods covered elsewhere, e.g. G01N33/50, C12Q
- G01N1/40—Concentrating samples
- G01N1/4055—Concentrating samples by solubility techniques
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N1/00—Sampling; Preparing specimens for investigation
- G01N1/28—Preparing specimens for investigation including physical details of (bio-)chemical methods covered elsewhere, e.g. G01N33/50, C12Q
- G01N1/40—Concentrating samples
- G01N1/4055—Concentrating samples by solubility techniques
- G01N2001/4061—Solvent extraction
Landscapes
- Health & Medical Sciences (AREA)
- Physics & Mathematics (AREA)
- Life Sciences & Earth Sciences (AREA)
- Chemical & Material Sciences (AREA)
- Analytical Chemistry (AREA)
- Biochemistry (AREA)
- General Health & Medical Sciences (AREA)
- General Physics & Mathematics (AREA)
- Immunology (AREA)
- Pathology (AREA)
- Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
- Investigating, Analyzing Materials By Fluorescence Or Luminescence (AREA)
Abstract
The invention relates to a construction method of a quantitative analysis curve of furfural in transformer oil and a detection method of furfural content. The construction method of the quantitative analysis curve of the furfural in the transformer oil comprises the following steps: dissolving furfural in transformer oil, and preparing furfural stock solution with different concentration gradients; adding water into part of the furfural stock solution, performing ultrasonic treatment, and centrifuging to obtain raffinate; respectively carrying out Raman spectrum measurement on the raffinate and the residual furfural stock solution to determine a Raman characteristic peak of furfural; and establishing a quantitative analysis curve of the furfural concentration and the peak area of the furfural stock solution at the Raman characteristic peak by adopting a multivariate statistical analysis method. The method can improve the furfural detection sensitivity. Meanwhile, the determination is rapid, and the result is accurate.
Description
Technical Field
The invention relates to the field of insulation online monitoring and fault diagnosis of electrical equipment, in particular to a construction method of a furfural quantitative analysis curve in transformer oil and a detection method of furfural content in transformer oil.
Background
The power transformer is a core device in a power system, and the insulation operation condition and the health level of the power transformer are directly related to the safety and stability of a power grid. As with most electrical equipment, power transformers suffer degradation and reduced insulation performance under the action of electricity and heat. Among them, furfural produced by the cracking of cellulose in the oil paper insulation is one of the most common indexes for evaluating the aging degree of the oil paper insulation at present. Therefore, the method can accurately detect the content of the dissolved furfural in the transformer oil, further judge the aging degree of the oil paper insulating material, and is an important technical support for ensuring the safe and reliable operation of the large-scale power transformer.
The furfural is used as an important characteristic substance for evaluating the aging state of the oil paper insulation equipment, and how to rapidly and accurately detect the oil paper insulation equipment and keep high sensitivity is critical.
Disclosure of Invention
Based on the method, the invention provides a construction method of a quantitative analysis curve of furfural in transformer oil and a detection method of furfural content in transformer oil, which can improve furfural detection sensitivity. Meanwhile, the determination is rapid, and the result is accurate.
The specific technical scheme is as follows:
a construction method of a quantitative analysis curve of furfural in transformer oil comprises the following steps:
dissolving furfural in transformer oil, and preparing furfural stock solution with different concentration gradients;
adding water into part of the furfural stock solution, performing ultrasonic treatment, and centrifuging to obtain raffinate;
respectively carrying out Raman spectrum measurement on the raffinate and the residual furfural stock solution to determine a Raman characteristic peak of furfural;
and establishing a quantitative analysis curve of the furfural concentration and the peak area of the furfural stock solution at the Raman characteristic peak by adopting a multivariate statistical analysis method.
The invention also provides a method for detecting the furfural content in the transformer oil.
The specific technical scheme is as follows:
a method for detecting the furfural content in transformer oil comprises the following steps:
performing Raman spectrum measurement on the transformer oil to be measured;
the transformer oil to be tested is placed at 1702cm-1And substituting the peak area of the characteristic peak into the quantitative analysis curve, and calculating the furfural content in the transformer oil to be detected.
Compared with the prior art, the invention has the following beneficial effects:
the invention provides a method for constructing a quantitative analysis curve of furfural in transformer oil based on a water extraction Raman spectroscopy, and the quantitative analysis curve constructed by the method can be used for measuring the content of furfural in the transformer oil to be measured, so that the furfural detection sensitivity is improved. Meanwhile, the determination is rapid, and the result is accurate.
Drawings
FIG. 1 is a comparison graph of Raman spectra of a furfural stock solution, a raffinate and furfural;
FIG. 2 is a graph of quantitative analysis of furfural;
FIG. 3 is a graph showing the analysis of the extraction effect.
Detailed Description
The present invention will be described in further detail with reference to specific examples. The present invention may be embodied in many different forms and is not limited to the embodiments described herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete.
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. The terminology used in the description of the invention herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. As used herein, the term "and/or" includes any and all combinations of one or more of the associated listed items.
A construction method of a quantitative analysis curve of furfural in transformer oil comprises the following steps:
dissolving furfural in transformer oil, and preparing furfural stock solution with different concentration gradients;
adding water into part of the furfural stock solution, performing ultrasonic treatment, and centrifuging to obtain raffinate;
respectively carrying out Raman spectrum measurement on the raffinate and the residual furfural stock solution to determine a Raman characteristic peak of furfural;
and establishing a quantitative analysis curve of the furfural concentration and the peak area of the furfural stock solution at the Raman characteristic peak by adopting a multivariate statistical analysis method.
Specifically, when preparing furfural stock solutions with different concentration gradients, pure furfural is used as a raw material, and is dissolved in a transformer in an excessive amount to prepare a furfural saturated solution, wherein the concentration of furfural in the solution is 353 mg/L.
And then diluting the furfural saturated solution to prepare a furfural stock solution with a certain concentration gradient.
Preferably, nine concentration gradients of furfural stock solution are prepared, with concentrations of 176mg/L, 88mg/L, 44mg/L, 22mg/L, 11mg/L, 5.5mg/L, 2.75mg/L, 1.38mg/L and 0.69mg/L, respectively.
And (3) taking a part of the nine furfural stock solutions with the concentration for preparing raffinate, and reserving the rest.
The specific method for preparing the raffinate comprises the following steps:
adding water, preferably deionized water, into the furfural stock solution according to the volume ratio of (8-15):1, preferably, the volume ratio of the furfural stock solution to the water is 10:1, performing ultrasonic oscillation for 10-15min, then adding the furfural stock solution into a centrifugal machine, centrifuging for 5-10 min at 8000r/min, and taking the upper layer liquid, namely raffinate.
And respectively carrying out Raman spectrum measurement on the raffinate and the retained furfural stock solution to obtain Raman spectrograms of the raffinate and the furfural stock solution with different concentrations.
According to a Raman spectrogram of a furfural stock solution with a concentration and a corresponding raffinate, comparing and determining that the Raman characteristic peak of furfural is 1702cm-1Characteristic peak of (c).
Preferably, the Raman characteristic peak of the furfural is determined, and the Raman spectrogram of the furfural can be referred. Namely, according to Raman spectrograms of furfural, furfural stock solution and corresponding raffinate, comparing and determining that the Raman characteristic peak of furfural is 1702cm-1Characteristic peak of (c).
The detection parameter selects 1200l/mm type grating equipped with platform, the width of the selected slit is 100 μm, the integration time is 30s, and the integration time is 2 times.
And performing unitary linear regression on the peak area of the furfural stock solution at the Raman characteristic peak and the furfural concentration by adopting a multivariate statistical analysis method, preferably a least square method, and establishing a quantitative analysis curve of the peak area of the furfural stock solution at the Raman characteristic peak and the furfural concentration.
A method for detecting the furfural content in transformer oil comprises the following steps:
performing Raman spectrum measurement on the transformer oil to be measured;
the transformer oil to be tested is placed at 1702cm-1And substituting the peak area of the characteristic peak into the quantitative analysis curve, and calculating the furfural content in the transformer oil to be detected.
Specifically, Raman spectrum measurement is carried out on a sample to be measured to obtain a Raman spectrogram, and the sample to be measured is positioned at 1702cm-1And (4) substituting the peak area of the Raman characteristic peak into the quantitative analysis curve, and calculating to obtain the furfural content in the transformer oil to be measured.
The method extracts furfural in the transformer oil by water, determines the Raman characteristic peak, and has the advantages of high detection sensitivity, rapid determination and accurate result.
It will be appreciated that the extraction rate and the effect of the extraction can also be analyzed.
Specifically, each raffinate prepared from the furfural stoste with different concentration gradients is 1702cm-1Introducing the peak area of the Raman characteristic peak into the quantitative analysis curve, and calculating to obtain furfural in each raffinateThe concentration of (c).
According to the formula: and (4) calculating the extraction rate of furfural in the transformer oil extracted by deionized water, wherein the extraction rate is (the furfural concentration of the furfural stock solution-the furfural concentration of the raffinate)/the furfural concentration of the furfural stock solution.
Understandably, an extraction effect analysis curve can be drawn by taking the extraction rate as an abscissa and the furfural concentration of a furfural stock solution as an ordinate, and the extraction effect of the raman detection of furfural in deionized water extracted transformer oil is analyzed.
When analyzing the extraction effect of water, compared with the traditional method such as high performance liquid chromatography, electrochemical analysis and the like, which directly measures the furfural concentration of the extraction liquid, the method has the problems of complex detection procedure, high requirement on operators, high cost, low efficiency, incapability of quickly and accurately judging the extraction rate and the like. The method can realize indirect measurement of the extraction rate by adopting the Raman spectroscopy, and has the advantages of high calculation accuracy of the extraction rate, simple operation, high efficiency, low cost and environmental friendliness.
The above-described method is described in detail with reference to specific examples, and the instruments and reagents used in the following examples are commercially available in general unless otherwise specified.
EXAMPLE 1 preparation of a Furfural stock solution
And (2) dissolving the furfural in excessive amount in test oil to prepare a furfural saturated oil solution (353mg/L), performing ultrasonic oscillation for 15min, diluting the furfural saturated solution to different degrees to prepare furfural stock solutions with a certain concentration gradient, wherein each furfural stock solution is 100mL, and the whole preparation process is protected from light. The prepared furfural stock solution with nine concentration gradients has the concentrations of 176mg/L, 88mg/L, 44mg/L, 22mg/L, 11mg/L, 5.5mg/L, 2.75mg/L, 1.38mg/L and 0.69mg/L respectively.
Example 2 preparation of raffinate
Taking 70mL of furfural stock solutions with different concentration gradients, mixing the furfural stock solutions with deionized water according to the volume ratio of 10:1, placing the furfural stock solutions in a 100mL centrifuge tube, performing ultrasonic oscillation for 15min, centrifuging the furfural stock solutions at 8000r/min for 10min by using a centrifuge, and taking out the upper raffinate to be tested.
Example 3 Raman Spectroscopy detection
The method is characterized in that a laboratory liquid Raman spectrum detection platform is combined to carry out Raman spectrum detection on furfural stock solution with different concentration gradients and corresponding raffinate to obtain Raman spectrograms of the furfural stock solution and the raffinate, and the Raman spectrograms of the furfural stock solution with different concentration gradients, the corresponding Raman spectrograms of the raffinate and the Raman spectrograms of furfural are compared, as shown in figure 1.
The platform comprises a laser, an Andor iDus-416 CCD, a Leica DM2700 microscope, an Andor SR-500i dispersion Raman spectrometer and other main devices, wherein the laser wavelength of the laser is 532nm, the output power is 100mW, the line width is less than 0.001pm, the noise is less than 0.25% rms, and the output laser mode is TEM 00. In the microscope beam path, a 50 × long-focus objective lens is selected. A slit width of 100 μm, a 1200l/mm type grating was used, the integration time was 30s, and the number of integrations was 2. The read noise of the CCD detector is less than 5e/pixel, the refrigeration temperature can reach-75 ℃, the monitoring wavelength range is 200-1100 nm, the pixel is 2000 multiplied by 256, the dark current is less than 0.0006e/s/pixel, and the Raman scattering wavelength monitoring of trace furfural dissolved in the transformer oil can be met.
Determining a common Raman characteristic peak of the furfural stock solution and the raffinate according to Raman spectrum comparison graphs of the furfural stock solution, the corresponding raffinate and the furfural, namely the Raman characteristic peak of the furfural, wherein the Raman characteristic peak is selected to be 1702cm-1Characteristic peak of (c).
Example 4 Furfural quantitation Curve Generation
Using least square method to treat furfural stock solution at 1702cm-1Performing unary linear regression on the peak area of the Raman characteristic peak and the concentration of the furfural dissolved in the oil, wherein the concentration of the furfural dissolved in the oil is an abscissa, and the concentration of a furfural stock solution is 1702cm-1Taking the peak area of the Raman characteristic peak as a vertical coordinate, and drawing to obtain a furfural quantitative analysis curve as shown in figure 2: y 2179.7034+1080.87179x, and goodness of fit R2 0.99541.
EXAMPLE 5 measurement of Furfural content in sample to be measured
And the sample to be detected is the transformer oil dissolved with the furfural, and the Raman spectrum detection is carried out on the sample to be detected to obtain a Raman spectrum diagram of the sample to be detected.
The sample to be tested is at 1702cm-1And substituting the peak area of the Raman characteristic peak into the furfural quantitative analysis curve, and calculating to obtain the furfural concentration in the sample to be detected.
Example 6 analysis of extraction Effect
Each raffinate from example 3 was found to be 1702cm-1And substituting the peak area of the Raman characteristic peak into the furfural quantitative analysis curve, and calculating to obtain the concentration of furfural in each raffinate.
And calculating the extraction rate of the furfural in the transformer oil extracted by the deionized water according to the extraction rate (the furfural concentration of the furfural stock solution-the furfural concentration of the raffinate)/the furfural concentration of the furfural stock solution.
And drawing an extraction effect analysis curve by taking the extraction rate as an abscissa and the furfural concentration of the furfural stock solution as an ordinate, and analyzing the extraction effect of the raman detection of furfural in the deionized water extracted transformer oil as shown in fig. 3. As can be seen from fig. 3, the extraction rate of furfural in deionized water extracted oil is increased and then decreased with the decrease of the concentration of dissolved furfural in the oil. For furfural solution with lower concentration, the extraction effect has certain limitation.
By adopting the method to analyze the extraction effect, the extraction rate has high calculation accuracy, simple operation, high efficiency, low cost and environmental protection. The Raman detection extraction effect analysis of the dissolved furfural in the deionized water extracted transformer oil can be realized without using the traditional high performance liquid chromatography, electrochemical analysis method and the like, and the reagent and time are saved, so that the method is an environment-friendly high-efficiency analysis and measurement method.
The technical features of the embodiments described above may be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the embodiments described above are not described, but should be considered as being within the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present invention, and the description thereof is more specific and detailed, but not construed as limiting the scope of the present invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the inventive concept, which falls within the scope of the present invention. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Claims (10)
1. A construction method of a quantitative analysis curve of furfural in transformer oil is characterized by comprising the following steps:
dissolving furfural in transformer oil, and preparing furfural stock solution with different concentration gradients;
adding water into part of the furfural stock solution, performing ultrasonic treatment, and centrifuging to obtain raffinate;
respectively carrying out Raman spectrum measurement on the raffinate and the residual furfural stock solution to determine a Raman characteristic peak of furfural;
and establishing a quantitative analysis curve of the furfural concentration and the peak area of the furfural stock solution at the Raman characteristic peak by adopting a multivariate statistical analysis method.
2. The method for constructing the curve for quantitative analysis of furfural in transformer oil according to claim 1, wherein the Raman characteristic peak of furfural is selected to be 1702cm-1Characteristic peak of (c).
3. The method for constructing the quantitative analysis curve for the furfural in the transformer oil according to claim 1, wherein the multivariate statistical analysis method is a least square method.
4. The method for constructing the quantitative analysis curve for the furfural in the transformer oil according to claim 3, characterized by performing unary linear regression on the peak area of the furfural stock solution at the Raman characteristic peak and the furfural concentration by using a least square method to establish a quantitative analysis curve.
5. The method for constructing the quantitative analysis curve of the furfural in the transformer oil according to any one of claims 1 to 4, wherein the prepared furfural stoste has concentrations of 176mg/L, 88mg/L, 44mg/L, 22mg/L, 11mg/L, 5.5mg/L, 2.75mg/L, 1.38mg/L and 0.69mg/L, respectively.
6. The method for constructing the curve for the quantitative analysis of the furfural in the transformer oil according to any one of claims 1 to 4, wherein when water is added to a part of the furfural stock solution, the volume ratio of the furfural stock solution to the water is (8-15): 1.
7. The method for constructing the quantitative analysis curve for the furfural in the transformer oil according to any one of claims 1 to 4, wherein the time of the ultrasonic treatment is 10min to 15 min.
8. The method for constructing the quantitative analysis curve for the furfural in the transformer oil according to any one of claims 1 to 4, wherein the centrifugal process parameters are as follows: centrifuging at 8000r/min for 5-10 min.
9. The method for constructing the curve for quantitative analysis of furfural in transformer oil according to any one of claims 1 to 4, wherein the detection parameters of Raman spectroscopy include: a1200 l/mm type grating is selected, the width of a slit is 100 mu m, the integration time is 30s, and the integration times is 2.
10. The method for detecting the furfural content in the transformer oil is characterized by comprising the following steps:
performing Raman spectrum measurement on the transformer oil to be measured;
the transformer oil to be tested is placed at 1702cm-1Substituting the peak area of the characteristic peak into the quantitative analysis curve of any one of claims 1 to 9, and calculating the furfural content in the transformer oil to be detected.
Priority Applications (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210288156.9A CN114778511A (en) | 2019-11-06 | 2019-11-06 | Analysis method for furfural extraction effect in transformer oil |
| CN201911074201.5A CN110879222A (en) | 2019-11-06 | 2019-11-06 | Construction method of quantitative analysis curve of furfural in transformer oil and detection method of furfural content |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911074201.5A CN110879222A (en) | 2019-11-06 | 2019-11-06 | Construction method of quantitative analysis curve of furfural in transformer oil and detection method of furfural content |
Related Child Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202210288156.9A Division CN114778511A (en) | 2019-11-06 | 2019-11-06 | Analysis method for furfural extraction effect in transformer oil |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN110879222A true CN110879222A (en) | 2020-03-13 |
Family
ID=69728836
Family Applications (2)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201911074201.5A Pending CN110879222A (en) | 2019-11-06 | 2019-11-06 | Construction method of quantitative analysis curve of furfural in transformer oil and detection method of furfural content |
| CN202210288156.9A Pending CN114778511A (en) | 2019-11-06 | 2019-11-06 | Analysis method for furfural extraction effect in transformer oil |
Family Applications After (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202210288156.9A Pending CN114778511A (en) | 2019-11-06 | 2019-11-06 | Analysis method for furfural extraction effect in transformer oil |
Country Status (1)
| Country | Link |
|---|---|
| CN (2) | CN110879222A (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111537494A (en) * | 2020-05-09 | 2020-08-14 | 广东电网有限责任公司广州供电局 | Analysis method for furfural extraction effect in transformer oil |
| CN114113030A (en) * | 2021-10-14 | 2022-03-01 | 广东电网有限责任公司广州供电局 | Construction method of analysis model for acetone content in transformer oil and detection method for acetone content |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103149309A (en) * | 2011-12-06 | 2013-06-12 | 上海宝钢工业检测公司 | Measuring method for the furfural content of transformer oil |
| US20140320855A1 (en) * | 2013-04-28 | 2014-10-30 | Tsinghua University | Raman spectroscopy method of measuring melamine contents in dairy products having different matrixes |
| CN106950216A (en) * | 2017-03-30 | 2017-07-14 | 重庆大学 | Content of acetone Raman spectra detection process is dissolved in transformer oil |
-
2019
- 2019-11-06 CN CN201911074201.5A patent/CN110879222A/en active Pending
- 2019-11-06 CN CN202210288156.9A patent/CN114778511A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103149309A (en) * | 2011-12-06 | 2013-06-12 | 上海宝钢工业检测公司 | Measuring method for the furfural content of transformer oil |
| US20140320855A1 (en) * | 2013-04-28 | 2014-10-30 | Tsinghua University | Raman spectroscopy method of measuring melamine contents in dairy products having different matrixes |
| CN106950216A (en) * | 2017-03-30 | 2017-07-14 | 重庆大学 | Content of acetone Raman spectra detection process is dissolved in transformer oil |
Non-Patent Citations (2)
| Title |
|---|
| 乔胜亚 等: "基于不同萃取剂的油中糠醛拉曼光谱检测研究", 《第二十届全国光散射学术会议（CNCLS 20）论文摘要集》 * |
| 顾朝亮 等: "变压器油中溶解微量糠醛的激光拉曼光谱检测方法", 《电工技术学报》 * |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111537494A (en) * | 2020-05-09 | 2020-08-14 | 广东电网有限责任公司广州供电局 | Analysis method for furfural extraction effect in transformer oil |
| CN114113030A (en) * | 2021-10-14 | 2022-03-01 | 广东电网有限责任公司广州供电局 | Construction method of analysis model for acetone content in transformer oil and detection method for acetone content |
Also Published As
| Publication number | Publication date |
|---|---|
| CN114778511A (en) | 2022-07-22 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Chen et al. | Analysis of furfural dissolved in transformer oil based on confocal laser Raman spectroscopy | |
| CN106770184A (en) | The detection method of content of MEK is dissolved in a kind of transformer oil | |
| CN111126497B (en) | Transformer solid insulating material aging state evaluation method | |
| CN106950216A (en) | Content of acetone Raman spectra detection process is dissolved in transformer oil | |
| CN110879222A (en) | Construction method of quantitative analysis curve of furfural in transformer oil and detection method of furfural content | |
| CN109000597B (en) | A kind of surface roughness measuring method based on laser induced breakdown spectroscopy | |
| Skelly | Photo-acoustic spectroscopy for dissolved gas analysis: Benefits and Experience | |
| CN110567937A (en) | Competitive self-adaptive heavy-weighted key data extraction method for Raman spectrum analysis of insulating oil | |
| CN102410992B (en) | Simplified element measurement method through laser-induced plasma spectral standardization | |
| CN110455776A (en) | A method of detection furfural content in transformer oil | |
| CN103293175A (en) | Method for measuring chemical components of liquid sodium silicate | |
| CN103018266A (en) | Method for measuring microelements in lubricating oil by total reflection X-ray fluorescence spectrometry | |
| CN111044506A (en) | Method for detecting water content of aluminum phosphate dirt | |
| CN107238596B (en) | Method for measuring furfural in transformer oil based on silver-based sponge substrate | |
| EP2982967A1 (en) | Method and system for real time in-situ monitoring of a solution during a solution based process | |
| CN109187499A (en) | Insulating oil component detection method and device based on laser induced breakdown spectroscopy | |
| Fu et al. | Improved method for detecting methanol in transformer oil based on colorimetry with a chemometric method | |
| CN111537494A (en) | Analysis method for furfural extraction effect in transformer oil | |
| CN101140225B (en) | Method for detecting lead in scenting agent with AOTF near-infrared spectrometer | |
| Leong et al. | Portable NIR spectroscopy measuring device for transformer oil DBPC inhibitor analysis | |
| Leong et al. | Portable device for transformer oil inhibitor content analysis using near-infrared spectroscopy wavelength | |
| CN113203699A (en) | Method and device for detecting antioxidant content in transformer plant insulating oil | |
| Gu et al. | Detection of methanol dissolved in transformer oil by laser Raman spectroscopy | |
| CN110174362B (en) | Method for detecting content of neutral sugar and acidic sugar | |
| CN103293417A (en) | Detection method of transformer aging degree |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| TA01 | Transfer of patent application right | ||
| TA01 | Transfer of patent application right |
Effective date of registration: 20200924 Address after: 510620 Tianhe District, Guangzhou, Tianhe South Road, No. two, No. 2, No. Applicant after: Guangzhou Power Supply Bureau of Guangdong Power Grid Co.,Ltd. Address before: 510620 Tianhe District, Guangzhou, Tianhe South Road, No. two, No. 2, No. Applicant before: GUANGZHOU POWER SUPPLY Co.,Ltd. |
|
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20200313 |