CN112180175A - Ship cable insulation corrosion degree assessment method based on multidimensional relaxation parameters - Google Patents

Ship cable insulation corrosion degree assessment method based on multidimensional relaxation parameters Download PDF

Info

Publication number
CN112180175A
CN112180175A CN202011076810.7A CN202011076810A CN112180175A CN 112180175 A CN112180175 A CN 112180175A CN 202011076810 A CN202011076810 A CN 202011076810A CN 112180175 A CN112180175 A CN 112180175A
Authority
CN
China
Prior art keywords
loss angle
dielectric
angle data
dielectric loss
spectrum
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
Application number
CN202011076810.7A
Other languages
Chinese (zh)
Inventor
盛进路
万一阳
梅亚
唐可
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Chongqing Jiaotong University
Original Assignee
Chongqing Jiaotong University
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Chongqing Jiaotong University filed Critical Chongqing Jiaotong University
Priority to CN202011076810.7A priority Critical patent/CN112180175A/en
Publication of CN112180175A publication Critical patent/CN112180175A/en
Pending legal-status Critical Current

Links

Images

Classifications

    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R27/00Arrangements for measuring resistance, reactance, impedance, or electric characteristics derived therefrom
    • G01R27/02Measuring real or complex resistance, reactance, impedance, or other two-pole characteristics derived therefrom, e.g. time constant
    • G01R27/26Measuring inductance or capacitance; Measuring quality factor, e.g. by using the resonance method; Measuring loss factor; Measuring dielectric constants ; Measuring impedance or related variables
    • G01R27/2617Measuring dielectric properties, e.g. constants
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/12Testing dielectric strength or breakdown voltage ; Testing or monitoring effectiveness or level of insulation, e.g. of a cable or of an apparatus, for example using partial discharge measurements; Electrostatic testing
    • G01R31/1227Testing dielectric strength or breakdown voltage ; Testing or monitoring effectiveness or level of insulation, e.g. of a cable or of an apparatus, for example using partial discharge measurements; Electrostatic testing of components, parts or materials
    • G01R31/1263Testing dielectric strength or breakdown voltage ; Testing or monitoring effectiveness or level of insulation, e.g. of a cable or of an apparatus, for example using partial discharge measurements; Electrostatic testing of components, parts or materials of solid or fluid materials, e.g. insulation films, bulk material; of semiconductors or LV electronic components or parts; of cable, line or wire insulation
    • G01R31/1272Testing dielectric strength or breakdown voltage ; Testing or monitoring effectiveness or level of insulation, e.g. of a cable or of an apparatus, for example using partial discharge measurements; Electrostatic testing of components, parts or materials of solid or fluid materials, e.g. insulation films, bulk material; of semiconductors or LV electronic components or parts; of cable, line or wire insulation of cable, line or wire insulation, e.g. using partial discharge measurements

Abstract

The invention relates to a ship cable insulation corrosion degree evaluation method based on multidimensional relaxation parameters, which comprises the steps of firstly testing a broadband dielectric spectrum dielectric loss angle of a ship cable to be tested; then calculating a multi-dimensional relaxation parameter xi of the ship cable to be measured; and finally, evaluating the corrosion degree of the insulation of the ship cable to be tested according to the multidimensional relaxation parameter xi, and laying a foundation for ensuring the safe operation of the cable.

Description

Ship cable insulation corrosion degree assessment method based on multidimensional relaxation parameters
Technical Field
The invention belongs to the field of cable insulation aging state evaluation, and particularly relates to a ship cable insulation corrosion degree evaluation method based on multidimensional relaxation parameters.
Background
The crosslinked polyethylene has the advantages of simple structure, light weight, good heat resistance, strong load capacity, high mechanical strength and the like, and is widely applied to the insulation of various cables. The ship cable is often corroded by seawater, so that the whole insulation body is corroded, the tolerance capability of the cable is reduced, cable faults are caused, and the safe operation of various electrical equipment is seriously threatened.
In order to accurately and efficiently evaluate the insulation corrosion degree of the ship cable and reduce the occurrence rate of cable faults, an evaluation method for the insulation corrosion degree of the ship cable is urgently needed. The method is a ship cable insulation corrosion degree assessment method based on multidimensional relaxation parameters, is simple to operate, and can calculate and measure broadband dielectric spectrum dielectric loss angle data to assess the cable insulation corrosion degree.
Disclosure of Invention
The invention relates to a ship cable insulation corrosion degree assessment method based on multidimensional relaxation parameters, which is used for assessing the corrosion degree of ship cable insulation and specifically comprises the following steps:
the first step is as follows: collecting broadband dielectric spectrum dielectric loss angle information of a target ship cable;
h times of broadband dielectric spectrum dielectric loss angle tests are carried out on the target ship cable, and the discrete broadband dielectric spectrum dielectric loss angle data collected from the target ship cable are recorded as A(i,a)I represents i times of the wide-band dielectric spectrum dielectric loss angle test, 0<i is less than or equal to h; a represents a discrete broadband dielectric spectrum dielectric loss angle data frequency point, and a belongs to {0.01,0.02,0.04,0.1,0.2,0.4,1,2,4,10,20,40,100,200,400,1000 };
the second step is that: calculating multi-dimensional relaxation parameters of the target ship cable, wherein the method comprises the following steps;
1) for the collected discrete broadband dielectric spectrum dielectric loss angle data A(i,a)Performing multi-stage decomposition, and recording the dielectric loss angle data of the two-stage decomposition discrete broadband dielectric spectrum as B(i,a)(ii) a The four-level decomposition discrete broadband dielectric spectrum dielectric loss angle data is recorded as C(i,a)(ii) a The dielectric loss angle data of the six-stage dissociation dispersion broadband dielectric spectrum is recorded as D(i,a)(ii) a The process of multi-stage decomposition is as follows:
Figure BDA0002717980760000011
Figure BDA0002717980760000021
Figure BDA0002717980760000022
2) for discrete broadband dielectric spectrum dielectric loss angle data A(i,a)Two-stage decomposition of discrete wideband dielectric spectrum dielectric loss angle data B(i,a)Four-level decomposition discrete broadband dielectric spectrum dielectric loss angle data C(i,a)Six-stage dissociation dispersion broadband dielectric spectrum dielectric loss angle data D(i,a)Respectively carrying out mean value weighting treatment;
Figure BDA0002717980760000023
the dielectric loss angle data of the mean weighted discrete broadband dielectric spectrum,
Figure BDA0002717980760000024
Two-stage decomposition of the dielectric loss angle data of the discrete broadband dielectric spectrum for mean weighting,
Figure BDA0002717980760000025
Decomposing the dielectric loss angle data of the discrete broadband dielectric spectrum for mean weight four-level decomposition,
Figure BDA0002717980760000026
Dispersing the broadband dielectric spectrum dielectric loss angle data for the mean weighted six-stage dissociation; the process of mean weighting is as follows:
Figure BDA0002717980760000027
Figure BDA0002717980760000028
Figure BDA0002717980760000029
Figure BDA00027179807600000210
max[A(i,a)]is represented by A(i,a)Maximum value of (1); min [ A ](i,a)]Is represented by A(i,a)Minimum value of (1); max [ B ](i,a)]Is represented by B(i,a)Maximum value of (1); min [ B ](i,a)]Is represented by B(i,a)Minimum value of (1); max [ C ](i,a)]Is represented by C(i,a)Maximum value of (1); min [ C ](i,a)]Is represented by C(i,a)Minimum value of (1); max [ D ](i,a)]Represents D(i,a)Maximum value of (1); min [ D ](i,a)]Represents D(i,a)Minimum value of (1);
3) discretizing broadband dielectric spectrum dielectric loss angle data from mean weights
Figure BDA00027179807600000211
Extracting relaxation parameter xi from(i,1)(ii) a Two-stage decomposition of discrete wideband dielectric spectrum dielectric loss angle data from mean weighting
Figure BDA00027179807600000212
Extracting relaxation parameter xi from(i,2)(ii) a Decomposition of discrete wideband dielectric spectrum dielectric loss angle data from mean weighted four levels
Figure BDA00027179807600000213
Extracting relaxation parameter xi from(i,3)(ii) a Dispersion of broadband dielectric spectrum dielectric loss angle data from mean weighted six-fraction
Figure BDA00027179807600000214
Extracting relaxation parameter xi from(i,4)(ii) a The process of dielectric relaxation parameter extraction is as follows:
Figure BDA0002717980760000031
Figure BDA0002717980760000032
Figure BDA0002717980760000033
Figure BDA0002717980760000034
represents a matrix dot product;
4) and calculating a multidimensional relaxation parameter xi in the following process:
Figure BDA0002717980760000035
the third step: through the multidimensional relaxation parameter xi calculated in the second step, the following evaluation is performed:
if xi is less than theta1The insulation of the target ship cable is slightly corroded;
if xi is greater than or equal to theta1And xi is less than theta2The insulation of the target ship cable is moderate corrosion;
if xi is greater than or equal to theta2And xi is less than theta3The insulation of the target ship cable is severe corrosion;
if xi is greater than or equal to theta3The insulation of the target ship cable is completely corroded;
wherein theta is1=0.223,θ2=5.875,θ3=19.025。
Drawings
FIG. 1 is a flow chart of the present invention for evaluating insulation of a marine cable;
Detailed Description
The invention is further illustrated below with reference to a flow diagram:
according to the ship cable insulation evaluation flow chart in fig. 1, the specific calculation steps of the invention are as follows:
the first step is as follows: collecting broadband dielectric spectrum dielectric loss angle information of a target ship cable;
h times of broadband dielectric spectrum dielectric loss angle test is carried out on the target ship cable, and the target ship cable is electrifiedThe data of the dielectric loss angle of the discrete broadband dielectric spectrum collected in the cable is recorded as A(i,a)I represents i times of the wide-band dielectric spectrum dielectric loss angle test, 0<i is less than or equal to h; a represents a discrete broadband dielectric spectrum dielectric loss angle data frequency point, and a belongs to {0.01,0.02,0.04,0.1,0.2,0.4,1,2,4,10,20,40,100,200,400,1000 };
the second step is that: calculating multi-dimensional relaxation parameters of the target ship cable, wherein the method comprises the following steps;
1) for the collected discrete broadband dielectric spectrum dielectric loss angle data A(i,a)Performing multi-stage decomposition, and recording the dielectric loss angle data of the two-stage decomposition discrete broadband dielectric spectrum as B(i,a)(ii) a The four-level decomposition discrete broadband dielectric spectrum dielectric loss angle data is recorded as C(i,a)(ii) a The dielectric loss angle data of the six-stage dissociation dispersion broadband dielectric spectrum is recorded as D(i,a)(ii) a The process of multi-stage decomposition is as follows:
Figure BDA0002717980760000041
Figure BDA0002717980760000042
Figure BDA0002717980760000043
2) for discrete broadband dielectric spectrum dielectric loss angle data A(i,a)Two-stage decomposition of discrete wideband dielectric spectrum dielectric loss angle data B(i,a)Four-level decomposition discrete broadband dielectric spectrum dielectric loss angle data C(i,a)Six-stage dissociation dispersion broadband dielectric spectrum dielectric loss angle data D(i,a)Respectively carrying out mean value weighting treatment;
Figure BDA0002717980760000044
the dielectric loss angle data of the mean weighted discrete broadband dielectric spectrum,
Figure BDA0002717980760000045
Two-stage decomposition of the dielectric loss angle data of the discrete broadband dielectric spectrum for mean weighting,
Figure BDA0002717980760000046
Decomposing the dielectric loss angle data of the discrete broadband dielectric spectrum for mean weight four-level decomposition,
Figure BDA0002717980760000047
Dispersing the broadband dielectric spectrum dielectric loss angle data for the mean weighted six-stage dissociation; the process of mean weighting is as follows:
Figure BDA0002717980760000048
Figure BDA0002717980760000051
Figure BDA0002717980760000052
Figure BDA0002717980760000053
max[A(i,a)]is represented by A(i,a)Maximum value of (1); min [ A ](i,a)]Is represented by A(i,a)Minimum value of (1); max [ B ](i,a)]Is represented by B(i,a)Maximum value of (1); min [ B ](i,a)]Is represented by B(i,a)Minimum value of (1); max [ C ](i,a)]Is represented by C(i,a)Maximum value of (1); min [ C ](i,a)]Is represented by C(i,a)Minimum value of (1); max [ D ](i,a)]Represents D(i,a)Maximum value of (1); min [ D ](i,a)]Represents D(i,a)Minimum value of (1);
3) discretizing broadband dielectric spectrum dielectric loss angle data from mean weights
Figure BDA0002717980760000054
Extracting relaxation parameter xi from(i,1)(ii) a Two-stage decomposition of discrete wideband dielectric spectrum dielectric loss angle data from mean weighting
Figure BDA0002717980760000055
Extracting relaxation parameter xi from(i,2)(ii) a Decomposition of discrete wideband dielectric spectrum dielectric loss angle data from mean weighted four levels
Figure BDA0002717980760000056
Extracting relaxation parameter xi from(i,3)(ii) a Dispersion of broadband dielectric spectrum dielectric loss angle data from mean weighted six-fraction
Figure BDA0002717980760000057
Extracting relaxation parameter xi from(i,4)(ii) a The process of dielectric relaxation parameter extraction is as follows:
Figure BDA0002717980760000058
Figure BDA0002717980760000059
Figure BDA00027179807600000510
Figure BDA00027179807600000511
represents a matrix dot product;
4) and calculating a multidimensional relaxation parameter xi in the following process:
Figure BDA0002717980760000061
the third step: through the multidimensional relaxation parameter xi calculated in the second step, the following evaluation is performed:
if xi is less than theta1The insulation of the target ship cable is slightly corroded;
if xi is greater than or equal to theta1And xi is less than theta2The insulation of the target ship cable is moderate corrosion;
if xi is greater than or equal to theta2And xi is less than theta3The insulation of the target ship cable is severe corrosion;
if xi is greater than or equal to theta3The insulation of the target ship cable is completely corroded;
wherein theta is1=0.223,θ2=5.875,θ3=19.025。

Claims (1)

1. A ship cable insulation corrosion degree assessment method based on multidimensional relaxation parameters is characterized by comprising the following steps:
the first step is as follows: collecting broadband dielectric spectrum dielectric loss angle information of a target ship cable;
h times of broadband dielectric spectrum dielectric loss angle tests are carried out on the target ship cable, and the discrete broadband dielectric spectrum dielectric loss angle data collected from the target ship cable are recorded as A(i,a)I represents i times of the wide-band dielectric spectrum dielectric loss angle test, 0<i is less than or equal to h; a represents a discrete broadband dielectric spectrum dielectric loss angle data frequency point, and a belongs to {0.01,0.02,0.04,0.1,0.2,0.4,1,2,4,10,20,40,100,200,400,1000 };
the second step is that: calculating multi-dimensional relaxation parameters of the target ship cable, wherein the method comprises the following steps;
1) for the collected discrete broadband dielectric spectrum dielectric loss angle data A(i,a)Performing multi-stage decomposition, and recording the dielectric loss angle data of the two-stage decomposition discrete broadband dielectric spectrum as B(i,a)(ii) a The four-level decomposition discrete broadband dielectric spectrum dielectric loss angle data is recorded as C(i,a)(ii) a The dielectric loss angle data of the six-stage dissociation dispersion broadband dielectric spectrum is recorded as D(i,a)(ii) a The process of multi-stage decomposition is as follows:
Figure FDA0002717980750000011
Figure FDA0002717980750000012
Figure FDA0002717980750000013
2) for discrete broadband dielectric spectrum dielectric loss angle data A(i,a)Two-stage decomposition of discrete wideband dielectric spectrum dielectric loss angle data B(i,a)Four-level decomposition discrete broadband dielectric spectrum dielectric loss angle data C(i,a)Six-stage dissociation dispersion broadband dielectric spectrum dielectric loss angle data D(i,a)Respectively carrying out mean value weighting treatment;
Figure FDA0002717980750000014
the dielectric loss angle data of the mean weighted discrete broadband dielectric spectrum,
Figure FDA0002717980750000015
Two-stage decomposition of the dielectric loss angle data of the discrete broadband dielectric spectrum for mean weighting,
Figure FDA0002717980750000016
Decomposing the dielectric loss angle data of the discrete broadband dielectric spectrum for mean weight four-level decomposition,
Figure FDA0002717980750000017
Dispersing the broadband dielectric spectrum dielectric loss angle data for the mean weighted six-stage dissociation; the process of mean weighting is as follows:
Figure FDA0002717980750000018
Figure FDA0002717980750000019
Figure FDA0002717980750000021
Figure FDA0002717980750000022
max[A(i,a)]is represented by A(i,a)Maximum value of (1); min [ A ](i,a)]Is represented by A(i,a)Minimum value of (1); max [ B ](i,a)]Is represented by B(i,a)Maximum value of (1); min [ B ](i,a)]Is represented by B(i,a)Minimum value of (1); max [ C ](i,a)]Is represented by C(i,a)Maximum value of (1); min [ C ](i,a)]Is represented by C(i,a)Minimum value of (1); max [ D ](i,a)]Represents D(i,a)Maximum value of (1); min [ D ](i,a)]Represents D(i,a)Minimum value of (1);
3) discretizing broadband dielectric spectrum dielectric loss angle data from mean weights
Figure FDA0002717980750000023
Extracting relaxation parameter xi from(i,1)(ii) a Two-stage decomposition of discrete wideband dielectric spectrum dielectric loss angle data from mean weighting
Figure FDA0002717980750000024
Extracting relaxation parameter xi from(i,2)(ii) a Decomposition of discrete wideband dielectric spectrum dielectric loss angle data from mean weighted four levels
Figure FDA0002717980750000025
Extracting relaxation parameter xi from(i,3)(ii) a Dispersion of broadband dielectric spectrum dielectric loss angle data from mean weighted six-fraction
Figure FDA0002717980750000026
Is prepared byRelaxation parameter xi(i,4)(ii) a The process of dielectric relaxation parameter extraction is as follows:
Figure FDA0002717980750000027
Figure FDA0002717980750000028
Figure FDA0002717980750000029
Figure FDA00027179807500000210
represents a matrix dot product;
4) and calculating a multidimensional relaxation parameter xi in the following process:
Figure FDA0002717980750000031
the third step: through the multidimensional relaxation parameter xi calculated in the second step, the following evaluation is performed:
if xi is less than theta1The insulation of the target ship cable is slightly corroded;
if xi is greater than or equal to theta1And xi is less than theta2The insulation of the target ship cable is moderate corrosion;
if xi is greater than or equal to theta2And xi is less than theta3The insulation of the target ship cable is severe corrosion;
if xi is greater than or equal to theta3The target vessel cable insulation is completely corroded.
CN202011076810.7A 2020-10-10 2020-10-10 Ship cable insulation corrosion degree assessment method based on multidimensional relaxation parameters Pending CN112180175A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202011076810.7A CN112180175A (en) 2020-10-10 2020-10-10 Ship cable insulation corrosion degree assessment method based on multidimensional relaxation parameters

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202011076810.7A CN112180175A (en) 2020-10-10 2020-10-10 Ship cable insulation corrosion degree assessment method based on multidimensional relaxation parameters

Publications (1)

Publication Number Publication Date
CN112180175A true CN112180175A (en) 2021-01-05

Family

ID=73949010

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202011076810.7A Pending CN112180175A (en) 2020-10-10 2020-10-10 Ship cable insulation corrosion degree assessment method based on multidimensional relaxation parameters

Country Status (1)

Country Link
CN (1) CN112180175A (en)

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114186392A (en) * 2021-11-09 2022-03-15 西南交通大学 XLPE cable aging degree evaluation method
CN114184907A (en) * 2021-11-08 2022-03-15 西南交通大学 Rail transit cable aging degree evaluation method

Citations (14)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2000088911A (en) * 1998-09-14 2000-03-31 Showa Electric Wire & Cable Co Ltd Diagnostic method for degradation of water tree of insulator
US20050156604A1 (en) * 2003-07-25 2005-07-21 Volodymyr Red'ko Method of non-contact measuring electrical conductivity of electrolytes with using primary measuring transformer
JP2008089561A (en) * 2006-10-03 2008-04-17 Takemitsu Higuchi DETECTION METHOD OF INSULATOR DIELECTRIC LOSS ANGLE (CALLED AS tandelta) IN APPARATUS DURING OPERATION
WO2012129314A2 (en) * 2011-03-21 2012-09-27 Trustees Of Boston College Nanoscale sensors with nanoporous material
CN103018639A (en) * 2012-11-21 2013-04-03 深圳供电局有限公司 Method for evaluating insulation aging state of oil paper insulation electrical equipment on basis of frequency domain spectroscopy
CN103308835A (en) * 2013-06-27 2013-09-18 深圳供电局有限公司 Method and device for detecting insulation aging state of oil-paper insulation electric power equipment
CN204214953U (en) * 2014-11-17 2015-03-18 广州供电局有限公司 For the dielectric spectroscopy measurement mechanism of bushing
WO2016107867A1 (en) * 2014-12-30 2016-07-07 Abu Dhabi Polymers Company Limited (Borouge) Llc Multimodal polyethylene
CN105866647A (en) * 2016-06-08 2016-08-17 西安交通大学 XLPE (Cross Linked Polythylene) insulation aging estimation method based on different frequency and dielectric loss ratios
CN107797035A (en) * 2017-10-12 2018-03-13 国网天津市电力公司电力科学研究院 XLPE insulating performance of cable appraisal procedures based on wideband dielectric Measured By Impedance Spectroscopy
CN108303366A (en) * 2017-12-25 2018-07-20 华南理工大学 A kind of silastic material ageing state multivariate joint probability analysis method
CN210092840U (en) * 2019-06-18 2020-02-18 大唐可再生能源试验研究院有限公司 Lightning protection prevention device for wind field current collection circuit
CN111289863A (en) * 2020-03-30 2020-06-16 国网山东省电力公司聊城供电公司 Power cable middle joint insulation detection method based on dielectric spectrum method
CN111736043A (en) * 2020-06-19 2020-10-02 西安交通大学 XLPE cable degassing state evaluation method based on low-frequency dielectric spectrum

Patent Citations (14)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2000088911A (en) * 1998-09-14 2000-03-31 Showa Electric Wire & Cable Co Ltd Diagnostic method for degradation of water tree of insulator
US20050156604A1 (en) * 2003-07-25 2005-07-21 Volodymyr Red'ko Method of non-contact measuring electrical conductivity of electrolytes with using primary measuring transformer
JP2008089561A (en) * 2006-10-03 2008-04-17 Takemitsu Higuchi DETECTION METHOD OF INSULATOR DIELECTRIC LOSS ANGLE (CALLED AS tandelta) IN APPARATUS DURING OPERATION
WO2012129314A2 (en) * 2011-03-21 2012-09-27 Trustees Of Boston College Nanoscale sensors with nanoporous material
CN103018639A (en) * 2012-11-21 2013-04-03 深圳供电局有限公司 Method for evaluating insulation aging state of oil paper insulation electrical equipment on basis of frequency domain spectroscopy
CN103308835A (en) * 2013-06-27 2013-09-18 深圳供电局有限公司 Method and device for detecting insulation aging state of oil-paper insulation electric power equipment
CN204214953U (en) * 2014-11-17 2015-03-18 广州供电局有限公司 For the dielectric spectroscopy measurement mechanism of bushing
WO2016107867A1 (en) * 2014-12-30 2016-07-07 Abu Dhabi Polymers Company Limited (Borouge) Llc Multimodal polyethylene
CN105866647A (en) * 2016-06-08 2016-08-17 西安交通大学 XLPE (Cross Linked Polythylene) insulation aging estimation method based on different frequency and dielectric loss ratios
CN107797035A (en) * 2017-10-12 2018-03-13 国网天津市电力公司电力科学研究院 XLPE insulating performance of cable appraisal procedures based on wideband dielectric Measured By Impedance Spectroscopy
CN108303366A (en) * 2017-12-25 2018-07-20 华南理工大学 A kind of silastic material ageing state multivariate joint probability analysis method
CN210092840U (en) * 2019-06-18 2020-02-18 大唐可再生能源试验研究院有限公司 Lightning protection prevention device for wind field current collection circuit
CN111289863A (en) * 2020-03-30 2020-06-16 国网山东省电力公司聊城供电公司 Power cable middle joint insulation detection method based on dielectric spectrum method
CN111736043A (en) * 2020-06-19 2020-10-02 西安交通大学 XLPE cable degassing state evaluation method based on low-frequency dielectric spectrum

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
YANG YANG 等: "On-line monitoring and analysis of the dielectric loss in cross-bonded HV cable system", 《ELECTRIC POWER SYSTEMS RESEARCH》, vol. 149, 31 August 2017 (2017-08-31), pages 89 - 101 *
徐友: "XLPE电缆绝缘介电谱诊断及测试技术研究", 《中国优秀硕士学位论文全文数据库 工程科技Ⅱ辑, 15 May 2020 (2020-05-15), pages 042 - 49 *

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114184907A (en) * 2021-11-08 2022-03-15 西南交通大学 Rail transit cable aging degree evaluation method
CN114184907B (en) * 2021-11-08 2022-08-05 西南交通大学 Rail transit cable aging degree evaluation method
CN114186392A (en) * 2021-11-09 2022-03-15 西南交通大学 XLPE cable aging degree evaluation method
CN114186392B (en) * 2021-11-09 2022-07-19 西南交通大学 XLPE cable aging degree evaluation method

Similar Documents

Publication Publication Date Title
CN112180175A (en) Ship cable insulation corrosion degree assessment method based on multidimensional relaxation parameters
CN106443316B (en) Multi-information detection method and device for deformation state of power transformer winding
WO2020090143A1 (en) Battery diagnosis device and battery diagnosis method using current pulse method
CN106841949B (en) Method and device for monitoring stator insulation of three-phase asynchronous alternating current motor on line
CN113049922A (en) Fault arc signal detection method adopting convolutional neural network
CN112147444B (en) Power transformer working state monitoring method and system
CN113375939B (en) Mechanical part fault diagnosis method based on SVD and VMD
DE102018216518A1 (en) Method and device for diagnosing battery cells
CN113343564A (en) Transformer top layer oil temperature prediction method based on multi-element empirical mode decomposition
CN111723684A (en) Method for identifying transient overvoltage type in offshore wind farm
Prasojo et al. Health index analysis of power transformer with incomplete paper condition data
Hong et al. State classification of transformers using nonlinear dynamic analysis and Hidden Markov models
CN112198403A (en) Ship cable insulation corrosion degree estimation technology based on multi-scale dielectric coefficient
Fantoni Condition monitoring of electrical cables using line resonance analysis (LIRA)
CN109375037A (en) Delay unloading a ship in one kind oceangoing ship Single-phase Earth Fault of Power System alarm designs method
CN113642417A (en) Improved wavelet algorithm-based denoising method for partial discharge signals of insulated overhead conductor
CN117390408A (en) Power transformer operation fault detection method and system
CN110119690B (en) Parallel reactor vibration sensitive area selection method based on CRP and RQA
CN112881839B (en) Transformer diagnosis method based on mutual information of frequency concentration and vibration stability
Altay et al. Noise reduction on partial discharge data with wavelet analysis and appropriate thresholding
CN115828144A (en) Signal sparse representation and fusion detection method, storage medium and electronic device
Setiawati et al. Nguyen-Widrow Neural Network for Distribution Transformer Lifetime Prediction
DE102018216517A1 (en) Method and device for diagnosing battery cells
Hu et al. An instantaneous corrosion monitoring technique based on combining modified electrochemical noise and artificial neural network for determination of corrosion type and 2014 aluminium alloy corrosion rate in NaCl and Ce (NO3) 3 solutions
CN111025095B (en) XLPE cable terminal insulation reliability intelligent and rapid assessment method

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination