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    • 2. 发明申请
    • PHOTOELASTIC NEURAL TORQUE SENSOR
    • 光敏神经扭矩传感器
    • WO1997012214A1
    • 1997-04-03
    • PCT/US1996015519
    • 1996-09-27
    • ALLEN-BRADLEY COMPANY, INC.
    • ALLEN-BRADLEY COMPANY, INC.DISCENZO, Frederick, M.
    • G01L03/12
    • G01L1/241G01L3/12
    • An opto-mechanical torque sensing device suitable for use with rotary machinery integrates a photoelastic polymer detector, a light source, a photoelastic image sensor and an artificial intelligence neural network and algorithm. The photoelastic polymer is formed into a hollow cylinder and bonded to metal collars located at each end of the cylinder. The collars serve to readily place the cylinder detector over a machine shaft and affix it to the shaft using a keyway, setscrew, or spring pin. Alternatively, split collars and a split sleeve can also be used to clamp the detector to the shaft. In the presence of polarized light, the photoelastic polymer detector generates an optical fringe pattern that varies as a function of torque applied to the shaft or other machine part on which the detector is mounted. The artificial intelligence neural network learns the mapping relationship between the observed optical fringe pattern and the applied torque using a training procedure. Once trained, the neural network generates a signal representative of torque in the shaft based on observed fringe pattern.
    • 适用于旋转机械的光机械转矩检测装置集成了光弹性聚合物检测器,光源,光弹性图像传感器和人造智能神经网络和算法。 光弹性聚合物形成为中空圆柱体并且结合到位于气缸两端的金属套环。 套环用于容易地将气缸检测器放置在机器轴上,并使用键槽,固定螺丝或弹簧销将其固定到轴上。 或者,分开的套圈和分开的套筒也可用于将检测器夹紧到轴上。 在存在偏振光的情况下,光弹性聚合物检测器产生光学条纹图案,该光学条纹图案根据施加到安装有检测器的轴或其他机器部件的扭矩的函数而变化。 人工智能神经网络使用训练程序了解观察到的光学条纹图案与施加的扭矩之间的映射关系。 一旦被训练,神经网络基于观察到的条纹图案产生代表轴中扭矩的信号。