Hull structure stress monitoring system sensor large drift abnormal value fault diagnosis algorithm
A fault diagnosis algorithm, a technology of structural stress, applied in the calibration/testing of force/torque/work measuring instruments, the measurement of force by measuring the change of optical properties of materials when they are stressed, and instruments, etc., to achieve simple algorithm and operability. and high reliability, ensure the effect of normal operation
Active Publication Date: 2019-12-10
HARBIN ENG UNIV +2
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If the sensor has a large drift abnormal value fault, its main signal feature is that the stress data measured by the sensor has a certain drift compared with the normal data. For the specific characteristic curve, see image 3 , but it cannot simply be used as a fault judgment condition
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[0035] In the following, the present invention will be specifically described through exemplary embodiments. It should be understood, however, that elements, structures and characteristics of one embodiment may be beneficially incorporated in other embodiments without further recitation.
[0036] In order to realize the real-time and accurate diagnosis of the large drift abnormal value fault of the sensor in the hull structure stress monitoring system, the algorithm of the present invention determines the large drift abnormal value of the sensor according to the characteristics of the measured data signal when the sensor has a large drift abnormal value fault The algorithm can judge the working status of the sensor in real time, and can accurately identify the sensor with a large drift abnormal value fault, and can give timely feedback to the equipment operation or maintenance personnel.
[0037] The reasons for the large drift abnormal value failure of the sensor include temp...
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The invention belongs to the field of hull structure stress monitoring, and particularly relates to a hull structure stress monitoring system sensor large drift abnormal value fault diagnosis algorithm. The method comprises the following steps of: counting stress real-time data acquired by a sensor arranged at a structure monitoring position within a period of time, analyzing an extreme value of the stress real-time data within each zero-crossing period, and calculating a corresponding amplitude; determining an average value of all zero-period-crossing stress amplitudes; searching a sensor historical average stress amplitude when the ship motion amplitude is the same as or close to the ship motion amplitude in the ship motion historical data; determining a reference zero value corresponding to the loading state; counting a sample mean value of the real-time data in the period of time; and determining whether the corresponding sensor has a large drift abnormal value fault or not in combination with a judgment condition. The algorithm is simple and easy to implement, high in operability and reliability and capable of accurately judging large-drift abnormal value faults of the sensorin real time, and therefore normal operation of a hull structure stress monitoring system is guaranteed.
Description
technical field [0001] The invention belongs to the field of hull structure stress monitoring, in particular to a fault diagnosis algorithm for large drift abnormal value of a sensor of a hull structure stress monitoring system. Background technique [0002] The strength of the hull structure is one of the main factors affecting the safety of the ship. For ships navigating in the actual ocean environment, the external loads on the hull structure are highly random. Although people have formulated various specifications, processes and corresponding maintenance, inspection and repair plans during the design and construction of ships, marine accidents still occur from time to time. Therefore, it is very necessary to install a structural monitoring system on the hull structure to ensure the safety of the ship. [0003] The hull structure stress monitoring system is a comprehensive application of structural parameter identification technology, optical fiber sensing technology, da...
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Login to View More IPC IPC(8): G01L1/24G01L25/00
CPCG01L1/242G01L25/00
Inventor 周学谦刘玉超任慧龙冯国庆李陈峰王臣业刘宁许维军李辉孙士丽
Owner HARBIN ENG UNIV