Fiber Optic Sensor Calibration Using Bragg Grating Identification
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Solution Overview
Problem
The manual pairing of fiber optic sensors in bearing devices with calibration tables often leads to incorrect load interpretation due to manufacturing variations, resulting in mismatching and inaccurate load calculations.
Innovation Solution
An automated method and device for calibrating fiber optic sensors in bearing devices by coupling the sensor to an optical interrogator, emitting an optical signal, collecting reflected wavelengths, processing these to identify the sensor, and associating it with the correct calibration data table based on unique optical fiber digital data, eliminating the need for manual pairing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual pairing is used to associate fiber optic sensor with calibration table, then operation simplicity is maintained, but matching reliability deteriorates due to human error
Solution Approach 1:
The system performs self-identification through the refraction gratings embedded in the optical fiber. The sensor automatically provides its unique identity code when illuminated by the optical interrogator, eliminating the need for manual pairing operations and thereby ensuring reliable matching between sensor and calibration table.
Solution Approach 2:
The manual mechanical pairing process is replaced by an optical identification system. The refraction gratings act as an optical barcode that can be automatically read and processed, substituting human-operated mechanical matching with an automated optical-electrical system.
2Reliability
If automated identification system is implemented, then matching reliability is improved, but device complexity increases
Solution Approach 1:
The optical interrogator serves multiple functions: it interrogates the fiber optic sensor for load measurements, identifies the sensor through refraction grating patterns, and retrieves the appropriate calibration table. This multi-functionality reduces the need for separate dedicated identification devices, thereby limiting the increase in system complexity.
Solution Approach 2:
The refraction gratings act as an intermediary element embedded in the optical fiber that carries identification information. This intermediary enables automatic identification without requiring complex external scanning or reading devices, as the identification data is passively available through the existing optical signal path.
3Measurement precision
If manual pairing is used, then device complexity is kept low, but measurement precision deteriorates due to mismatching
Solution Approach 1:
The refraction gratings are pre-encoded with unique identification information during manufacturing. This preliminary action ensures that each optical fiber carries its identity code inherently, allowing for automatic and accurate matching with the corresponding calibration table before any measurement takes place, thereby ensuring measurement precision without complex runtime calibration procedures.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Ensures reliable matching between the fiber optic sensor and its calibration data, reducing mismatching and enhancing the accuracy of load calculations in bearing devices.
Implementation Method 1
the optical fiber comprising a set of refraction gratings configured to identify the optical fiber
Implementation Method 2
The set of refraction gratings may comprise a set of Bragg refraction gratings
Data Source
AI summary
The device (2) for calibrating a fiber optic sensor in a bearing device (1), comprises an optical fiber (3) including a set (6) of refraction gratings configured to identify the optical fiber (3), the device comprising:an optical interrogator (7) configured to emit an optical signal into the optical fiber (3),collecting means (9) for collecting the reflected wavelength of each refraction grating illuminated by the optical signal,first processing means (10) to process the collected reflected wavelengths of the set (6) of refraction gratings to identify the optical fiber (3), andsecond processing means (11) to associate the identified optical fiber (3) with a calibration data table of the said fiber optic sensor.

