Software based condition monitoring for machines
A computer-implemented method of predicting conditions of machines as well as a corresponding data processing system, computer program and computer-readable medium are disclosed. A technical specification of a machine is received. A data set including at least one current operational parameter of the machine is continuously received. A current load of the machine is continuously derived based on the provided technical specification and the received data set via a knowledge base. A current condition of the machine is continuously predicted by integrating over the derived current load and all previously derived current loads.
1. A computer-implemented method for determining conditions of electric motors, the method comprising:
receiving a technical specification of an electric motor comprising at least maximal torque and/or maximal rotational speed of an electric motor;
supplying the electric motor with an electric power by a frequency converter of the electric motor thereby operating the electric motor;
continuously receiving from the frequency converter of the electric motor during operation of the electric motor, a data set including at least electrical current currently supplied to the electric motor by the frequency converter;
continuously deriving a current load of the electric motor during operation of the electric motor based on the technical specification and the data set via a knowledge base, wherein the knowledge base comprises relationships between the technical specification together with the data set and the current load of the electric motor, wherein deriving the current load comprises deriving a current electrical torque of the electrical motor by the frequency converter, and based on the derived current electrical torque, deriving the current load of the electric motor via the knowledge base;
continuously during operation of the electric motor determining a current condition of the electric motor by integrating over the derived current load and all previously derived current loads;
deriving and updating a time point for servicing of the electric motor based on the current condition of the electric motor; and
indicating the time point for servicing of the electric motor.
2. The computer-implemented method of claim 1 , wherein the electric motor is a geared electric motor.
3. The computer-implemented method of claim 1 , wherein the knowledge base is implemented in a cloud system, and the cloud system is communicatively connected with a controller or connector, the controller or connector communicatively connected with the electric motor, or alternatively, the cloud system is communicatively connected with the electric motor.
4. The computer-implemented method of claim 3 , wherein the controller or connector is communicatively connected with the frequency converter of the electric motor.
5. The computer-implemented method of claim 3 , wherein the cloud system is communicatively connected with the frequency converter of the electric motor.
6. The computer-implemented method of claim 1 , wherein the knowledge base is implemented in a controller communicatively connected with the electric motor.
7. The computer-implemented method of claim 6 , wherein the controller is communicatively connected with the frequency converter of the electric motor.
8. The computer-implemented method of claim 1 , wherein the knowledge base is implemented in the frequency converter of the electric motor.
9. The computer-implemented method of claim 4 , wherein continuously deriving the current load of the electric motor comprises deriving a current load of at least two different components of the electric motor, and wherein continuously determining a current condition comprises predicting current conditions of the at least two different components of the electric motor.
10. The computer-implemented method of claim 9 , wherein deriving a time point for servicing comprises deriving time points for servicing of the at least two different components of the electric motor each based on the respective predicted current condition of the respective component.
11. A data processing system for predicting conditions of electric motors, the data processing system comprising means for carrying out a computer-implemented method as set forth in claim 1 .
12. The data processing system of claim 11 , wherein the knowledge base is implemented in a cloud system, and the cloud system is communicatively connected with a controller or connector, the controller or connector communicatively connected with the electric motor, or alternatively, the cloud system is communicatively connected with the electric motor.
13. The data processing system of claim 12 , wherein the controller or connector is communicatively connected with the frequency converter of the electric motor.
14. The data processing system of claim 12 , wherein the cloud system is communicatively connected with the frequency converter of the electric motor.
15. The data processing system of claim 13 , wherein the knowledge base is implemented in a controller communicatively connected with the electric motor.
16. The data processing system of claim 15 , wherein the controller is communicatively connected with the frequency converter of the electric motor.
17. The data processing system of claim 11 , wherein the knowledge base is implemented in the frequency converter of the electric motor.
18. A computer program embodied in a non-transitory computer readable medium comprising instructions which, when the computer program is executed by a computer, cause the computer to carry out the steps of the method of claim 1 .
19. A computer-readable non-transitory storage medium having stored thereon a computer program to operate the data processing system of claim 17 .