General Electric Company

Walter Charles Yund

Joseph James Salvo

John William Carbone

Benjamin Edward Beckmann

Peter Koudal

Dan Yang

Masoud Abbaszadeh

Patricia Denise Mackenzie

Weizhong Yan

Daniel Francis Holzhauer

Annarita Giani

Junrong Yan

Patricia MacKenzie

Some embodiments provide a system to facilitate transaction processing associated with an industrial asset supply chain having a first entity and a second entity. A first entity computer processor may retrieve, from a first entity database, information associated with pre-delivery data about the industrial asset. The first entity computer processor may then record pre-delivery data about the industrial asset via a secure, distributed transaction ledger. A second entity computer processor may retrieve, from a second entity database, information associated with a post-delivery event involving the industrial asset. The second entity computer processor may then record post-delivery event data about the industrial asset via a secure, distributed transaction ledger. The post-delivery event data might indicate, for example, that the industrial asset has been delivered, has been installed, is working properly, has been used, etc.

Blockchain enabled transaction processing for an industrial asset supply chain

According to some embodiments, a system may facilitate collaborative transaction processing associated with a supply chain having a first entity and a second entity. In particular, a first entity database may store electronic records including information associated with at least a portion of the supply chain, and a first entity communication port may exchange information via a distributed computer system. A first entity computer processor may retrieve from the first entity database the information associated with the at least a portion of the supply chain. A subset of information about the supply chain may be identified by the first entity computer processor as being of interest to the second entity. The identified subset of information about the supply chain may then be recorded via a secure, distributed transaction ledger.

Blockchain enabled collaborative transaction information processing for a supply chain

A cyber-physical system may have monitoring nodes that generate a series of current monitoring node values over time that represent current operation of the system. A hierarchical abnormality localization computer platform accesses a multi-level hierarchy of elements, and elements in a first level of the hierarchy are associated with elements in at least one lower level of the hierarchy and at least some elements may be associated with monitoring nodes. The computer platform may then determine, based on feature vectors and a decision boundary, an abnormality status for a first element in the highest level of the hierarchy. If the abnormality status indicates an abnormality, the computer platform may determine an abnormality status for elements, associated with the first element, in at least one level of the hierarchy lower than the level of the first element. These determinations may be repeated until an abnormality is localized to a monitoring node.

Scalable hierarchical abnormality localization in cyber-physical systems

Monitoring nodes may generate a series of current monitoring node values over time representing current operation of a cyber-physical system. A decision fusion computer platform may receive, from a local status determination module, an indication of whether each node has an initial local status of 'normal'/'abnormal' and a local certainty score (with higher values of the local certainty score representing greater likelihood of abnormality). The computer platform may also receive, from a global status determination module, an indication of whether the system has an initial global status of &#x201c;normal&#x201d;/&#x201c;abnormal&#x201d; and a global certainty score. The computer platform may output, for each node, a fused local status of &#x201c;normal&#x201d; or &#x201c;abnormal,&#x201d; at least one fused local status being based on the initial global status. The decision fusion computer platform may also output a fused global status of &#x201c;normal&#x201d; or &#x201c;abnormal&#x201d; based on at least one initial local status.

Local and global decision fusion for cyber-physical system abnormality detection

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Ballston Spa, NY, United States of America

Walter Charles Yund