-
公开(公告)号：US20200371510A1
公开(公告)日：2020-11-26
申请号：US16418183
申请日：2019-05-21
Applicant: AT&T Intellectual Property I, L.P.
Inventor： Rudolph Mappus , Mark Morris
Abstract: A method for generating a multi-layer predictive model includes collecting historical observable data from one or more pieces of equipment of a same type, wherein the historical observable data is collected at different hierarchical levels of the one or more pieces of equipment; collecting operational state indications of the pieces of equipment corresponding to the collected historical observable data; generating, from the collected historical observable data, a set of operational state models, wherein each operational state model corresponds to one of the different hierarchical levels; and generating, from outputs of the set of operational state models, a top-level operational model for the piece of equipment. The top-level operational model is operable to determine maintenance and replacement timing for the piece of equipment.
-
公开(公告)号：US20220329478A1
公开(公告)日：2022-10-13
申请号：US17226747
申请日：2021-04-09
Applicant: AT&T Intellectual Property I, L.P.
Inventor： Rudolph Mappus , George Goehring , Mark Morris
Abstract: Architectures and techniques are presented that improve or optimize (e.g., within a factor of optimal) spare equipment allocation. Efficient spare equipment allocation is capable of satisfying many orthogonal or even conflicting goals such as reducing the cost of purchase and storage of the spare equipment while simultaneously seeking to reduce downtime due to failed equipment resulting from too sparse coverage by the spare equipment. A sparing procedure can identify depot nodes that are indicative of depot locations where a spare device is to be stored.
-
公开(公告)号：US20220075361A1
公开(公告)日：2022-03-10
申请号：US17529326
申请日：2021-11-18
Applicant: AT&T Intellectual Property I, L.P.
Inventor： Rudolph Mappus , Mark Morris
Abstract: A method for generating a multi-layer predictive model includes collecting historical observable data from one or more pieces of equipment of a same type, wherein the historical observable data is collected at different hierarchical levels of the one or more pieces of equipment; collecting operational state indications of the pieces of equipment corresponding to the collected historical observable data; generating, from the collected historical observable data, a set of operational state models, wherein each operational state model corresponds to one of the different hierarchical levels; and generating, from outputs of the set of operational state models, a top-level operational model for the piece of equipment. The top-level operational model is operable to determine maintenance and replacement timing for the piece of equipment.
-
公开(公告)号：US11209808B2
公开(公告)日：2021-12-28
申请号：US16418183
申请日：2019-05-21
Applicant: AT&T Intellectual Property I, L.P.
Inventor： Rudolph Mappus , Mark Morris
Abstract: A method for generating a multi-layer predictive model includes collecting historical observable data from one or more pieces of equipment of a same type, wherein the historical observable data is collected at different hierarchical levels of the one or more pieces of equipment; collecting operational state indications of the pieces of equipment corresponding to the collected historical observable data; generating, from the collected historical observable data, a set of operational state models, wherein each operational state model corresponds to one of the different hierarchical levels; and generating, from outputs of the set of operational state models, a top-level operational model for the piece of equipment. The top-level operational model is operable to determine maintenance and replacement timing for the piece of equipment.
-
-
-
Search Results
4
records
(took 0.016 seconds)
