2024 年 6 月 第 3 期 总第 82 期
SHEBEI JIANLI
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品牌建设推广单位
北京康布尔石油技术发展有限公司
南京三方化工设备监理有限公司
北京中唐电工程咨询有限公司
上海挪亚工程管理有限公司
CONTENTS
P56
图 1 工程实际应用侧面图
Monograph and Summary
Application Practice of Personnel Capability Model in the
Field of Nuclear Power Equipment Supervision
Fu Nuo et al (01)
Quality Control
Quality Control in Manufacturing Process of Natural Gas
Tail Gas Purification and Recovery Equipment
Gao Xiaojuan et al (05)
The Improvement of the Repair Quality of Screw Compressor
Martensitic Casting Cylinder Defects Fan Guangsen (09)
Quality Control in the Manufacturing Process
of Wellhead Equipment Yang Peng et al (13)
Supervision Points
Research on Improvement Methods of Matching Materials for
Assembly Line Equipment and Rectification Effects
Yang Linguang (18)
Research on the Optimization of Food Machinery
and Equipment Supervision Mode Xiao Bingyue (23)
Discussion on the Supervision Work of Urban Rail Transit
Weak Current System Design Liaison Meeting Stage
Chen Lidong et al (26)
An Example of Manufacturing Supervision for an Oil
Pump Unit of Product Oil Pipeline Chen Jiaqi (29)
Analysis of GIS Combined with Electrical Supervision
and Its Influencing Factors Ren Gengjie (33)
Key Points of Safety Supervision for Boiler Installation
in Gas-fired Power Plants Huang Liusheng et al (39)
Management Application
Practical Exploration on the Management and Summary
Review of Supervision Materials for Combination
Electrical Appliances Zhou Wenhui (43)
Inspection and Technology
Research on Welding Process Optimization and Defect
Control Strategies Sun Yanzhong (47)
Application of Aggressive Prevention Early Warning
System of Test Train Line Based on UWB
Jiang Baojian et al (50)
Study on Structural Design of Electromagnetic
Vibration Feeder for CDQ in EPCT Mode Zhao Chunxu (55)
Application of Nondestructive Testing Technology in the
Inspection of Pressure Vessels and Pressure Pipelines
Shen Jinjun et al (58)
Analysis of Transformer Winding Deformation Detection
Method Supported by Distributed Fiber Optic Sensing
Zu Shuying (62)
Exploration of Intelligent Monitoring Technology for the
Operation Status of Large-scale Port Loading and
Unloading Machinery Equipment Wang Qingjun et al (66)