PROGNOSTICS AND HEALTH MANAGEMENT SYSTEM
A flexible prognostics and health management (PHM) device is disclosed. Sensor data is generated that quantifies real-time conditions of components in a machine based on sensor signals generated by sensors. A PHM system loads a PHM module that implements externally invokable functions. The PHM syste...
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| description | A flexible prognostics and health management (PHM) device is disclosed. Sensor data is generated that quantifies real-time conditions of components in a machine based on sensor signals generated by sensors. A PHM system loads a PHM module that implements externally invokable functions. The PHM system receives an analytics script. The analytics script comprises interpretable commands and predictive learning model parameter values associated with a predictive learning model. Some of the interpretable commands are configured to invoke some of the externally invokable functions with at least some of the predictive learning model parameter values. The PHM module invokes a command interpreter module to interpret an interpretable command and the predictive learning model parameter values and generate first executable bytecodes. The first executable bytecodes execute to generate a notification identifying a predicted future condition of a first component for presentation on a display device. |
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A PHM system loads a PHM module that implements externally invokable functions. The PHM system receives an analytics script. The analytics script comprises interpretable commands and predictive learning model parameter values associated with a predictive learning model. Some of the interpretable commands are configured to invoke some of the externally invokable functions with at least some of the predictive learning model parameter values. The PHM module invokes a command interpreter module to interpret an interpretable command and the predictive learning model parameter values and generate first executable bytecodes. 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Sensor data is generated that quantifies real-time conditions of components in a machine based on sensor signals generated by sensors. A PHM system loads a PHM module that implements externally invokable functions. The PHM system receives an analytics script. The analytics script comprises interpretable commands and predictive learning model parameter values associated with a predictive learning model. Some of the interpretable commands are configured to invoke some of the externally invokable functions with at least some of the predictive learning model parameter values. The PHM module invokes a command interpreter module to interpret an interpretable command and the predictive learning model parameter values and generate first executable bytecodes. The first executable bytecodes execute to generate a notification identifying a predicted future condition of a first component for presentation on a display device.</abstract><oa>free_for_read</oa></addata></record> |
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| language | eng |
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| subjects | CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATIONTECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING ORPROCESSING OF MEDICAL OR HEALTHCARE DATA INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS PHYSICS |
| title | PROGNOSTICS AND HEALTH MANAGEMENT SYSTEM |
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