1.
Problems and Improvement Measures of Damage Detector Based on ARM9 Wire Rope in Application
基于ARM9钢丝绳损伤探测仪的设计与应用
2.
Nondestructive testing technology for wire ropes based on weak magnetic flaw detection
基于弱磁探伤的钢丝绳无损检测技术
3.
Examination of the TCK Steel Wite Lossless Crack Detection Installment on the in-service Steel Wires in Vertical Shaft
利用TCK钢丝绳无损探伤装置检测立井在用钢丝绳技术
4.
The Intelligent Detection Technique Study for Broken Wires of the Steel Wire Rope;
钢丝绳断丝损伤的智能化检测技术研究
5.
Study on Characteristics of Fatigue Behavior and Failure Mechanisms of Steel Wire Ropes;
钢丝绳的疲劳行为特征与损伤机理研究
6.
The Damnification Analysis and Improving Approches of Metallic Wires Used in Bridge Type Grab Ship Unloader;
桥式抓斗卸船机钢丝绳的损伤分析与改进措施
7.
Research on Magneto-mechanical Effect and Magnetic Flux Leakage Monitor of Fatigue Damage for Wire Rope;
钢丝绳力磁效应与疲劳损伤漏磁信号监测的研究
8.
Study on Electronic-Electric-Mechanical Integrated Equipment of Steel Wire Rope Nondestructive Testing and Maintenance;
电子—电气—机械一体化钢丝绳无损探伤及养护设备的研究
9.
On how to detect the damage of wire rope for tower crane by digital image processing technology
应用数字图像处理技术检测塔式起重机钢丝绳的损伤
10.
The Study of the Testing System of the Loss of Metallic Cross-setional Area of Wire Rope;
钢丝绳金属截面积损失检测系统研究
11.
Research on Weak Magnetism Non-destructive Detection Technology of Wire Rope Failure
钢丝绳故障的弱磁无损检测技术研究
12.
Steel wire ropes
GB/T8918-1996钢丝绳
13.
Wire rope grips
GB/T5976-1986钢丝绳夹
14.
The Application of GNDT Wire Rope Computerize Detector in Elevator Testing
GNDT钢丝绳电脑探伤仪在电梯检测中的应用
15.
The Design of Data Acquisition System for Wire Rope NDT Base on USB;
基于USB的钢丝绳无损检测数据采集系统设计
16.
Non-destructive Wire Rope Testing System Based on Wireless Sensor Network with a Star Topology;
基于星型无线传感器网络的钢丝绳无损检测
17.
Fretting wear and its induced fatigue and fracture of wires was one of the major failure modes of the hoisting ropes.
钢丝间的微动磨损以及由此引起的钢丝的疲劳断裂是提升钢丝绳失效的主要原因之一。
18.
A Sensitivity Prediction Method Based on Limit Flaw Set for Evaluating Wire Rope EMT Instrument Testing Capability on Broken Wire
基于有限缺陷集的钢丝绳电磁探伤仪的断丝检测灵敏度预测方法