PATENT CLAIM ANALYSIS

Application Number: 16322148
Application Type: Utility
Filing Date: 2019-01
Publication Date: 2019-06
Patent Classification: ["355", "055000"]

Abstract:
A diagnostic system implements a network including two or more sub-domains. Each sub-domain has diagnostic information extracted by analysis of object data, the object data representing one or more parameters measured in relation to a set of product units that have been subjected nominally to the same industrial process as one another. The network further has at least one probabilistic connection from a first variable in a first diagnostic sub-domain to a second variable in a second diagnostic sub-domain. Part of the second diagnostic information is thereby influenced probabilistically by knowledge within the first diagnostic information. Diagnostic information may include, for example, a spatial fingerprint observed in the object data, or inferred. The network may include connections within sub-domains. The network may form a directed acyclic graph, and used for Bayesian inference operations.

Claim (Index 4):
The diagnostic system as claimed in  claim 1 , wherein the diagnostic system is arranged to perform one or more Bayesian inference steps using the network so that a variable within the first sub-domain is influenced by propagation of belief from within the second sub-domain.

Metadata:
- Claim Count in Document: 40.0
- Percentile: 99.0
- Lexical Diversity: 1.8125
- Patent Class: 355.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['15025856', '15915674', '15527645', '13296419', '12242546']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6945124872900434
- 35 USC 102 Novelty (BERT): 0.4929110789743733
- Combined Prediction Score: 0.6743523464584764
- Mean Citation Score: 173.01291399999997
- Max Citation Score: 233.83344
- Similarity Product: 148.29698106310843

Labels:
- Claim Label 101: 1
- Claim Label 102: 0
- Claim Label 103: 1
- Claim Label 112: 0
- Combined Label: 0
- Label 101 Adjusted: 1

Dataset: test