Abstract:
A method of controlling a compressor system (10) comprises a gas compressor (32) and an electrical variable-speed drive (30) supplied by an electrical grid (36) and driving the gas compressor (32). A method of controlling the compressor system (10) comprises: detecting a voltage dip (12) in a grid voltage (V) supplied to the electrical drive (30) by comparing the grid voltage (V) with a voltage dip threshold; in the case, a voltage dip (12) is detected: assuming a future development (72) of the grid voltage (V); predicting a future development (84) of at least one process quantity (q) based on at least one process parameter (86) measured in the compressor system (10) and the assumption of the future development (72) of the grid voltage (V); providing the predicted future development (84) of the least one process quantity (q) to a protection system (88). The assumed future development (72) of the grid voltage (V) is based on a predefined depth and a predefined length of an average voltage dip, the predefined depth and the predefined length of the average voltage dip are determined online from a set of historical voltage dip cases, and the assumed future development (72) of the grid voltage (V) is based on an assumption of a persistence of the actual measured voltage.
Abstract:
A method is disclosed for controlling at least one compressor (13) in a gas compression system (60), the compressor being driven by an electric motor (3) powered by a drive (2). The method further comprises obtaining measurements of one or more process variables (21) for the compressor and/or compression system from sensors mounted in the compressor or the gas compression system and obtaining a value of at least one electrical parameter (31) from the drive (2) and/or the electric motor (3). Further an estimation (35) of at least one process variable is calculated and compared with a measurement of the process variable ( q ). The measurement is then either validated or else replaced with the estimated value ( q est ) of the process variable. A computer program for carrying out the method and a compressor and compression systems employing the method are also disclosed.
Abstract:
To generate real-time or at least near real-time predictions for a process in an industrial plant, a set of neural networks are trained to create a set of trained models. The set of trained models is then used to output the predictions, by inputting online measurement results in an original space to two trained models whose outputs are fed, as reduced space inputs and reduced space initial states, to a third trained model. The third trained model processes the reduced space inputs to reduced space predictions. They are fed to a fourth trained model, which outputs the predictions in the original space.
Abstract:
A system and method are described for post-processing a 3D printed component. For example, support structures for the 3D printed component may be removed during post-processing. ln the system and method, a first image of a component is stored in memory. A second image of a 3D printed component corresponding to the component is also captured. One or more cutting paths between the 3D printed component and the support structures is then determined based on the first image and the second image. The 3D printed component may then be autonomously separated from the support structures by cutting through thecutting path.
Abstract:
A system and method are described for post-processing a 3D printed component. For example, support structures for the 3D printed component may be removed during post-processing. ln the system and method, a marker is placed on the 3D printed component or on a support structure attached to the 3D printed component. The marker may be printed while the 3D printed component and the support structures are printed by a 3D printer. After printing, the marker may then be sensed to determine one or more cutting paths between the 3D printed component and the support structures. The 3D printed component may then be autonomously separated from the support structures by cutting through the cutting path.
Abstract:
A system and method are described for post-processing a 3D printedcomponent. For example, support structures for the 3D printed component may beremoved during post-processing. ln the system and method, a first image of acomponent is stored in memory. A second image of a 3D printed componentcorresponding to the component is also captured. One or more cutting pathsbetween the 3D printed component and the support structures is then determinedbased on the first image and the second image. The 3D printed component maythen be autonomously separated from the support structures by cutting through thecutting path.
Abstract:
A method is disclosed for controlling at least one compressor (13) in a gas compression system (60), the compressor being driven by an electric motor (3) powered by a drive (2). The method further comprises obtaining measurements of one or more process variables (21) for the compressor and/or compression system from sensors mounted in the compressor or the gas compression system and obtaining a value of at least one electrical parameter (31) from the drive (2) and/or the electric motor (3). Further an estimation (35) of at least one process variable is calculated and compared with a measurement of the process variable (q). The measurement is then either validated or else replaced with the estimated value (q est ) of the process variable. A computer program for carrying out the method and a compressor and compression systems employing the method are also disclosed.