Method and sensor arrangement for load measurement on rolling element bearing based on model deformation
First Claim
1. Method for determining a load vector acting on a rolling element bearing, in which the method comprises:
- measuring displacement and/or strain using N sensors for determining displacement and/or strain in a ring shaped elements (of the rolling element bearing;
determining a deformation of the element by calculating amplitude and phase of N/2 Fourier terms representing at least one radial mode shape of the ring shaped element;
feeding the N/2 Fourier terms to a bearing neural network, the bearing neural network being trained to provide the load vector on the rolling element bearing from the N/2 Fourier terms.
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Abstract
Method and sensor arrangement for determining a load vector acting on a rolling element bearing (1) in operation. A plurality of N sensors (8) are provided which measure displacement and/or strain for determining displacement and/or strain in one of the elements (5, 6, 7) of the rolling element bearing (1). Furthermore, a mode shape coefficients calculator (11) is provided, connected to the plurality of N sensors (8), for determining a deformation of the element (5, 6, 7) by calculating amplitude and phase of N/2 Fourier terms representing at least one radial mode shape of the ring shape element (5, 6, 7). Also, a bearing neural network (12) is present, connected to the mode shape coefficients calculator (11), the bearing neural network (12) being trained to provide the load vector on the rolling element bearing (1) from the N/2 Fourier terms.
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Citations
20 Claims
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1. Method for determining a load vector acting on a rolling element bearing, in which the method comprises:
- measuring displacement and/or strain using N sensors for determining displacement and/or strain in a ring shaped elements (of the rolling element bearing;
determining a deformation of the element by calculating amplitude and phase of N/2 Fourier terms representing at least one radial mode shape of the ring shaped element;
feeding the N/2 Fourier terms to a bearing neural network, the bearing neural network being trained to provide the load vector on the rolling element bearing from the N/2 Fourier terms. - View Dependent Claims (2, 3, 4, 5, 6, 14, 15)
- measuring displacement and/or strain using N sensors for determining displacement and/or strain in a ring shaped elements (of the rolling element bearing;
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7. Sensor arrangement for determining a load vector acting on a rolling element bearing in operation, the sensor arrangement comprising a plurality of N sensors which measure displacement and/or strain for determining displacement and/or strain in one of the elements of the rolling element bearing;
- a mode shape coefficients calculator, connected to the plurality of N sensors, for determining a deformation of the element by calculating amplitude and phase of N/2 Fourier terms representing at least one radial mode shape of the ring shaped element;
a bearing neural network, connected to the mode shape coefficients calculator, the bearing neural network being trained to provide the load vector on the rolling element bearing from the N/2 Fourier terms. - View Dependent Claims (8, 9, 10, 11, 12, 13, 16, 17, 18, 19, 20)
- a mode shape coefficients calculator, connected to the plurality of N sensors, for determining a deformation of the element by calculating amplitude and phase of N/2 Fourier terms representing at least one radial mode shape of the ring shaped element;
Specification