Infrared optical fiber spectroscopic sensor for rust detection of elevator steel wire ropes

This paper presents an infrared optical fiber spectrum sensor for detecting the rust of elevator wire rope. The sensor is composed of incident infrared fiber, receiving infrared fiber, fiber collimator, fiber angle regulator, condenser, fiber coupler, thread rod and fiber fixer. One end of the incident infrared fiber is connected with the fiber coupler, and the other end is connected with the fiber collimator. One end of the receiving infrared fiber is connected to a fiber coupler, and the other end is coupled to a condenser. The condenser is used to collect the beam of light emitted by the incident fiber and reflect the beam of light through the wire rope, and transmit the focused beam to the receiving infrared fiber. The horizontal angle of the incident infrared optical fiber collimator is adjusted by the optical fiber angle regulator, and the distance between the infrared incident optical fiber collimator and the infrared receiving optical fiber condenser is adjusted by the threaded rod. The incident infrared fiber, receiving infrared fiber, optical fiber collimator, optical fiber angle regulator, condenser, optical fiber coupler and threaded rod are fixed by the optical fiber fixer to form a whole, which is the sensor used for the rust detection of the elevator rope.

Authors

Institutions

Publication Details

Published
2024-08-16
DOI
https://doi.org/10.1117/12.3040177
Primary Topic
Vibration and Dynamic Analysis
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Infrared optical fiber spectroscopic sensor for rust detection of elevator steel wire ropes

Ningjing Zhang, Xiaorong Luo, Yongjun Qiu, Tashi Nima et al.
Vibration and Dynamic Analysis
article

Infrared optical fiber spectroscopic sensor for rust detection of elevator steel wire ropes

Ningjing Zhang, Xiaorong Luo, Yongjun Qiu, Tashi Nima, Ligui Kang, Yanyun Huang
article en

Abstract

This paper presents an infrared optical fiber spectrum sensor for detecting the rust of elevator wire rope. The sensor is composed of incident infrared fiber, receiving infrared fiber, fiber collimator, fiber angle regulator, condenser, fiber coupler, thread rod and fiber fixer. One end of the incident infrared fiber is connected with the fiber coupler, and the other end is connected with the fiber collimator. One end of the receiving infrared fiber is connected to a fiber coupler, and the other end is coupled to a condenser. The condenser is used to collect the beam of light emitted by the incident fiber and reflect the beam of light through the wire rope, and transmit the focused beam to the receiving infrared fiber. The horizontal angle of the incident infrared optical fiber collimator is adjusted by the optical fiber angle regulator, and the distance between the infrared incident optical fiber collimator and the infrared receiving optical fiber condenser is adjusted by the threaded rod. The incident infrared fiber, receiving infrared fiber, optical fiber collimator, optical fiber angle regulator, condenser, optical fiber coupler and threaded rod are fixed by the optical fiber fixer to form a whole, which is the sensor used for the rust detection of the elevator rope.

Shanghai Special Equipment Supervision and Inspection Institute (CN), China Special Equipment Inspection and Research Institute (CN), Chongqing Vocational and Technical University of Mechatronics (CN), Beijing Jingshida Electromechanical Equipment Research Institute (CN)
Openalex Percentile: Top 86%
Vibration and Dynamic Analysis
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.