CN108764337B - 基于相对灰色关联度边界约束的水下机器人推进器故障程度辨识方法 - Google Patents
基于相对灰色关联度边界约束的水下机器人推进器故障程度辨识方法 Download PDFInfo
- Publication number
- CN108764337B CN108764337B CN201810526476.7A CN201810526476A CN108764337B CN 108764337 B CN108764337 B CN 108764337B CN 201810526476 A CN201810526476 A CN 201810526476A CN 108764337 B CN108764337 B CN 108764337B
- Authority
- CN
- China
- Prior art keywords
- degree
- fault
- gamma
- standard
- vector
- 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.)
- Active
Links
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/23—Clustering techniques
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/10—Complex mathematical operations
- G06F17/16—Matrix or vector computation, e.g. matrix-matrix or matrix-vector multiplication, matrix factorization
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/40—Extraction of image or video features
- G06V10/46—Descriptors for shape, contour or point-related descriptors, e.g. scale invariant feature transform [SIFT] or bags of words [BoW]; Salient regional features
- G06V10/469—Contour-based spatial representations, e.g. vector-coding
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Data Mining & Analysis (AREA)
- Theoretical Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Mathematical Physics (AREA)
- Computational Mathematics (AREA)
- Mathematical Optimization (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Pure & Applied Mathematics (AREA)
- General Engineering & Computer Science (AREA)
- Mathematical Analysis (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Multimedia (AREA)
- Evolutionary Computation (AREA)
- Artificial Intelligence (AREA)
- Evolutionary Biology (AREA)
- Life Sciences & Earth Sciences (AREA)
- Bioinformatics & Computational Biology (AREA)
- Algebra (AREA)
- Databases & Information Systems (AREA)
- Software Systems (AREA)
- Computing Systems (AREA)
- Testing And Monitoring For Control Systems (AREA)
- Testing Of Devices, Machine Parts, Or Other Structures Thereof (AREA)
Abstract
Description
Claims (2)
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201810526476.7A CN108764337B (zh) | 2018-05-29 | 2018-05-29 | 基于相对灰色关联度边界约束的水下机器人推进器故障程度辨识方法 |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201810526476.7A CN108764337B (zh) | 2018-05-29 | 2018-05-29 | 基于相对灰色关联度边界约束的水下机器人推进器故障程度辨识方法 |
Publications (2)
Publication Number | Publication Date |
---|---|
CN108764337A CN108764337A (zh) | 2018-11-06 |
CN108764337B true CN108764337B (zh) | 2021-10-19 |
Family
ID=64003125
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201810526476.7A Active CN108764337B (zh) | 2018-05-29 | 2018-05-29 | 基于相对灰色关联度边界约束的水下机器人推进器故障程度辨识方法 |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN108764337B (zh) |
Families Citing this family (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110716532A (zh) * | 2019-10-17 | 2020-01-21 | 哈尔滨工程大学 | 一种基于小波包能量与fft的水下机器人推进器弱故障辨识方法 |
Citations (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN104462803A (zh) * | 2014-11-27 | 2015-03-25 | 哈尔滨工程大学 | 一种基于小波近似熵的自主式水下机器人故障辨识方法 |
CN107133376A (zh) * | 2017-03-27 | 2017-09-05 | 哈尔滨工程大学 | 一种基于灰色预测模型的自主式水下机器人推进器弱故障程度预测方法 |
-
2018
- 2018-05-29 CN CN201810526476.7A patent/CN108764337B/zh active Active
Patent Citations (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN104462803A (zh) * | 2014-11-27 | 2015-03-25 | 哈尔滨工程大学 | 一种基于小波近似熵的自主式水下机器人故障辨识方法 |
CN107133376A (zh) * | 2017-03-27 | 2017-09-05 | 哈尔滨工程大学 | 一种基于灰色预测模型的自主式水下机器人推进器弱故障程度预测方法 |
Non-Patent Citations (2)
Title |
---|
水下机器人推进器故障特征分离与故障程度辨识方法研究;殷宝吉;《中国博士学位论文全文数据库》;20180528;全文 * |
自主式水下机器人故障特征增强方法;张铭钧等;《哈尔滨工程大学学报》;20140915;第35卷(第9期);第1099-1105页 * |
Also Published As
Publication number | Publication date |
---|---|
CN108764337A (zh) | 2018-11-06 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN109765053B (zh) | 利用卷积神经网络和峭度指标的滚动轴承故障诊断方法 | |
CN108596327B (zh) | 一种基于深度学习的地震速度谱人工智能拾取方法 | |
CN107492098B (zh) | 一种基于pca和cnn的高温锻件表面缺陷在位检测方法 | |
CN112101426A (zh) | 基于自编码器的无监督学习图像异常检测方法 | |
CN111768000A (zh) | 在线自适应微调深度学习的工业过程数据建模方法 | |
CN110929765A (zh) | 一种基于批次图像化的卷积自编码故障监测方法 | |
CN114813105A (zh) | 一种基于工况相似性评估的齿轮箱故障预警方法及系统 | |
CN111860775B (zh) | 基于cnn和rnn融合的船舶故障实时诊断方法 | |
CN113870230A (zh) | 一种基于混合监督学习的表面异常检测方法 | |
CN115618733B (zh) | 针对航空发动机剩余使用寿命预测的多尺度混杂注意力机制建模方法 | |
CN115290326A (zh) | 一种滚动轴承故障智能诊断方法 | |
CN114565594A (zh) | 基于软掩膜对比损失的图像异常检测方法 | |
CN114972759A (zh) | 基于分级轮廓代价函数的遥感图像语义分割方法 | |
CN114283325A (zh) | 一种基于知识蒸馏的水下目标识别方法 | |
CN108764337B (zh) | 基于相对灰色关联度边界约束的水下机器人推进器故障程度辨识方法 | |
CN109063750B (zh) | 基于cnn和svm决策融合的sar目标分类方法 | |
CN114239397A (zh) | 基于动态特征提取与局部加权深度学习的软测量建模方法 | |
CN106599391B (zh) | 基于三角形角度值动态加权的关联向量机软测量建模方法 | |
Rethik et al. | Attention Based Mapping for Plants Leaf to Classify Diseases using Vision Transformer | |
CN111863153A (zh) | 一种基于数据挖掘的废水中悬浮固体总量的预测方法 | |
CN117131970A (zh) | 一种基于集成学习的空分系统氧气提取率预测方法及系统 | |
CN115206455A (zh) | 基于深度神经网络的稀土元素组分含量预测方法及系统 | |
CN108197809B (zh) | 基于维度最优转换的权值共享深度网络的实时调度方法 | |
CN114519262B (zh) | 基于改进gm(1,1)模型的空中目标威胁预测方法 | |
CN112001388B (zh) | 一种基于YOLOv3改进模型的用于检测PCB中圆形目标的方法 |
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 | ||
GR01 | Patent grant | ||
GR01 | Patent grant | ||
EE01 | Entry into force of recordation of patent licensing contract | ||
EE01 | Entry into force of recordation of patent licensing contract |
Application publication date: 20181106 Assignee: Jiangsu University of Science and Technology Technology Transfer Center Co.,Ltd. Assignor: JIANGSU University OF SCIENCE AND TECHNOLOGY Contract record no.: X2022980022975 Denomination of invention: Identification method of underwater vehicle thruster fault degree based on relative grey relational degree boundary constraint Granted publication date: 20211019 License type: Common License Record date: 20221128 |
|
EC01 | Cancellation of recordation of patent licensing contract | ||
EC01 | Cancellation of recordation of patent licensing contract |
Assignee: Jiangsu University of Science and Technology Technology Transfer Center Co.,Ltd. Assignor: JIANGSU University OF SCIENCE AND TECHNOLOGY Contract record no.: X2022980022975 Date of cancellation: 20230310 |