US 11,928,622 B2
Systems and methods for failure detection tools in large scale maintenance operations
Michael P. Simeone, Scottsdale, AZ (US); David Little, Mesa, AZ (US); George Boben, Fort Worth, TX (US); Shashank Kapoor, New Delhi (IN); Deepan Nedumaran, Tempe, AZ (US); and Aravind Sundaresan, Tempe, AZ (US)
Assigned to ARIZONA BOARD OF REGENTS ON BEHALF OF ARIZONA STATE UNIVERSITY, Scottsdale, AZ (US)
Filed by Michael P. Simeone, Scottsdale, AZ (US); David Little, Mesa, AZ (US); George Boben, Fort Worth, TX (US); Shashank Kapoor, New Delhi (IN); Deepan Nedumaran, Tempe, AZ (US); and Aravind Sundaresan, Tempe, AZ (US)
Filed on Oct. 28, 2021, as Appl. No. 17/513,533.
Claims priority of provisional application 63/107,259, filed on Oct. 29, 2020.
Prior Publication US 2022/0138652 A1, May 5, 2022
Int. Cl. G06Q 10/0631 (2023.01); G06F 9/54 (2006.01); G06Q 10/0633 (2023.01)
CPC G06Q 10/06312 (2013.01) [G06F 9/54 (2013.01); G06Q 10/0633 (2013.01)] 9 Claims
OG exemplary drawing
 
1. A system for failure detection tools, the system comprising:
an application server configured to communicate with a failure detection tool and at least one user device;
the failure detection tool comprising a data handler, a text processor, a trend and forecast tool, a user interface, and a non-transitory computer-readable storage medium, each in data communication with one another via at least one software bus; and
the at least one user device comprising a display;
wherein:
the data handler is configured to receive first data from at least one data source;
the text processor is configured to process the first data to generate second data;
the non-transitory computer-readable storage medium is configured to store at least one of the first data or the second data;
the trend and forecast tool is configured to identify at least one of a trend or a prediction relating to at least one of the first data or the second data by applying at least one statistical modeling algorithm; and
the user interface is configured to communicate with at least one of the user device or the application server to transmit data relating to the at least one of the trend or the prediction to the user device; and
wherein the at least one user device is configured to display at least a portion of the data relating to the at least one of the trend or the prediction on the display.