System and method for reconstructing and augmenting high frequency data

A non-transitory computer readable medium containing computer-readable instructions stored therein for causing a control processor to perform a method for augmenting low frequency sampling rate data, the method comprising:

• obtaining a data set containing data sampled at a first frequency rate and a second frequency rate, the first frequency rate being larger than the second frequency rate, the data set representing operational status of a mechanical system;
• computing time intervals contained in the data set;
• extracting data sampled at the first frequency rate;
• extracting data sampled at the second frequency rate;
• calculating a cumulative data value for individual values in the data set;
• resampling the first frequency rate data to simulate data values at the second frequency rate;
• computing a multiplication factor based on a difference between first frequency rate data and second frequency rate data cumulative sample times;
• and
• applying probabilistic model rules to the resampled first frequency rate data using the multiplication factor in combination with at least one of rules, algorithms, and formulations to create a synthesized data set;
• combining the resampled first frequency rate data with the second frequency rate data;
• analyzing the synthesized data set to determine an operational viability of the mechanical system;
• and
• if the determination indicates an approaching end to the operational viability providing an indication to the control processor in control of the mechanical system.

A system for augmenting low frequency sampling rate data, the system comprising:

• a mechanical system having at least one group of components subject to effects of long term wear;
• one or more sensors disposed in the mechanical system, the sensors monitoring a property of at least one of the groups of components;
• the sensors providing data to an asset computing device associated with the mechanical system, the asset computing device including a control processor configured to control operation of the mechanical system;
• the control processor configured to access executable instructions that cause the control processor to perform the steps of:
• obtaining a data set containing data sampled at a first frequency rate and a second frequency rate, the first frequency rate being larger than the second frequency rate, the data set representing operational status of the mechanical system;
• computing time intervals contained in the data set;
• extracting data sampled at the first frequency rate;
• extracting data sampled at the second frequency rate;
• calculating a cumulative data value for individual values in the data set;
• resampling the first frequency rate data to simulate data values at the second frequency rate;
• computing a multiplication factor based on a difference between first frequency rate data and second frequency rate data cumulative sample times;
• applying probabilistic model rules to the resampled first frequency rate data using the multiplication factor in combination with at least one of rules, algorithms, and formulations to create a synthesized data set;
• combining the resampled first frequency rate data with the second frequency rate data;
• analyzing the synthesized data set to determine an operational viability of the mechanical system;
• and
• if the determination of the second operational viability indicates an approaching end to the operational viability providing an indication to the control processor in control of the mechanical system.