Abstract: A system and related method for building and deploying one or more inference models for use in remote condition monitoring of a first fleet of a first asset. The system includes model configuration data for subsequent use by a model builder application to construct one or more desired inference models for the first asset. The model configuration data is customized to the first asset and the desired one or more inference models, and is provided in a format which is easily readable and editable by a user of the system. The model configuration data is separate from the underlying processing algorithms which are employed by the model builder application in the constructing of the one or more desired inference models during a learning mode of operation of the system.

Abstract: A method of identifying anomalies in a monitored system includes acquiring input data from a plurality of sensors in the monitored system. Preprocessing the acquired data to prepare it for modeling leaves a first data subset that feeds into a normal Gaussian mixture model built using normal operating conditions of the monitored system. Removing data flagged as anomalous by the normal Gaussian mixture model leaves a second data subset that is compared to at least one threshold. If the comparison indicates that the second data subset contains anomalies, then the second data subset feeds into at least one of a set of asset performance Gaussian mixture models. Identifying which data contribute to an abnormality in the monitored system leaves a third data subset. Post-processing the third data subset may extract anomalies in the monitored system.

Abstract: Methods of determining an overall performance of air-conditioning system(s) are disclosed. The methods include transmitting data from a sensor operably coupled to at least one air-conditioning pack, comparing the transmitted data, determining an overall performance of the air-conditioning system(s) based on the comparing, and providing an indication of the determined overall performance of the air-conditioning system(s).

Abstract: A system and related method for building and deploying one or more inference models for use in remote condition monitoring of a first fleet of a first asset. The system includes model configuration data for subsequent use by a model builder application to construct one or more desired inference models for the first asset. The model configuration data is customized to the first asset and the desired one or more inference models, and is provided in a format which is easily readable and editable by a user of the system. The model configuration data is separate from the underlying processing algorithms which are employed by the model builder application in the constructing of the one or more desired inference models during a learning mode of operation of the system.

Abstract: A method of displaying a parameter that can be modeled by an algorithm having multiple variables on a display to provide an understanding of an impact of the variables on the parameter, the method includes displaying on a first portion of the display a plot of the parameter for a first period and simultaneously with the display of the plot of the parameter, displaying on a second portion of the display, different from the first portion, a plot related to the parameter.

Abstract: A method for identifying and analyzing data entities from (maintenance, repair, and overhaul (MRO)) data is provided. The method includes obtaining MRO data comprising unstructured text information. The method also includes performing named entity recognition on the MRO data to extract entities from the unstructured text information and label the entities with a tag. The method further includes analyzing the labeled entities via a heuristic to estimate an effectiveness of a fix for a specific issue or to estimate a reliability of a component.