Rebase PR-31 branch from Jakob #32
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Clustering and mode tracking is added with example code for both and a shared module for both. Other small changes have been made. Splitting function blocks into smaller functions. Other small changes. Bug fix and small change to plot_cluster Fixed an error in create_cluster, that resulted in doublicate model orders for a cluster. Allowed for scatter point size to be adjusted. Removed debug info from some files, added missing type info for function arguments and returns, updated to YaFEM 1.0.0, changed some function descriptions, added timestamp to clustering data Model update module and other changes Add model update module. Added reconnect function for MQTT client. Added timestamp outputs to some functions. Added models folder to store YAFEM models and model parameters. Added function to publish clustering results. Small change to the mode tracking algorithm. Added function to check mode shapes. Moved convert_list function to util.py, since it is used in multiple other functions. Added function to view the spectral density. Changes to readability. Added example functions Changed the typing of some arguments in some functions dict to Dict, list to List, tuple to Tuple
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| else: | ||
| print(mode_shape) | ||
| print('Press enter to continue') | ||
| x = input() |
| myModel = model(myNodes, myElements,model_pars) | ||
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| # simulation | ||
| mySimulation = simulation(myModel) |
| try: | ||
| message = json.dumps(payload) | ||
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| reconnect_succes = reconnect_client(publish_client) |
| print(f"Skipping model updating due to error: {e}") | ||
| message = json.dumps(payload) | ||
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| reconnect_succes = reconnect_client(publish_client) |
| plt.show(block=True) | ||
| cluster_results, sysid_output, dictionary_of_clusters, meadian_frequencies, timestamp = MC.subscribe_and_cluster(config_path,PARAMS) | ||
| if sysid_output is not None: | ||
| fig_ax = plot_clusters(dictionary_of_clusters, sysid_output, PARAMS, fig_ax = None) |
| print("Model update failed.") | ||
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| parameters, omegaMU, model_parameters = model_update.estimate_updated_model(dictionary_clusters,MODEL_PARAMETERS,PARAMS) |
| print("Model update failed.") | ||
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| parameters, omegaMU, model_parameters = model_update.estimate_updated_model(dictionary_clusters,MODEL_PARAMETERS,PARAMS) |
| print("Model update failed.") | ||
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| parameters, omegaMU, model_parameters = model_update.estimate_updated_model(dictionary_clusters,MODEL_PARAMETERS,PARAMS) |
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rebase done in PR #35 |
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