PATENT CLAIM ANALYSIS

Application Number: 15867111
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2018-05
Patent Classification: ["702", "183000"]

Abstract:
Method and system for performing close-loop analysis to electronic component failures are provided. The system establishes an electronic component fault tree of physics of failure (FTPF), converts the FTPF into a failure locating fault tree, establishes an electronic component fault dictionary with the cause of failure mechanism corresponding to failure characteristics, and performs close-loop analysis to the electronic component according to the fault tree and the fault dictionary. According to the disclosure, it is possible to locate the electronic component fault in the internal physical structure by the failure locating fault tree, to give a clear failure path, to quickly identify the failure mechanism corresponding to the electronic component failure mode by analyzing the failure characteristic vector in the fault dictionary, and to determine the mechanism factors and influencing factors of relevant failure mechanism by the FTPF, thereby achieving fast and accurate locating and diagnosis for the electronic component failure.

Claim (Index 5):
A system for performing close-loop analysis to electronic component fault problem, comprising:\n a fault tree of physics of failure establishing module, configured to establish, according to common characteristics of electronic component's physics of failure, a fault tree of physics of failure of the electronic component; a failure locating fault tree establishing module, configured to convert an event of physics of failure into an observable node event, according to the fault tree of physics of failure, and to convert the fault tree of physics of failure into a failure locating fault tree; a fault dictionary establishing module, configured to establish, according to the failure locating fault tree, the electronic component fault dictionary with the cause of failure mechanism corresponding to failure characteristics; and a close-loop analyzing module, configured to perform close-loop analysis to the electronic component fault problem, according to the fault tree of physics of failure and the electronic component fault dictionary; wherein the fault dictionary establishing module further comprises: a set of failure modes determining unit, configured to determine, according to the failure locating fault tree, a set of failure modes of the electronic component, the set including multiple subsets of failure modes; an observable node determining unit, configured to determine, according to the failure locating fault tree, the observable node for each failure mode in the subset of failure modes; a characteristic value obtaining unit, configured to obtain, according to the failure locating fault tree, observed parameters from the observable node, and judging the parameters to obtain characteristic value of the observable node in the failure mode; a characteristic vector obtaining unit, configured to determine, according to the characteristic value of the observable node, characteristic vector of the electronic component in various failure modes; a failure mechanism determining unit, configured to determine, according to the failure locating fault tree, the cause of failure mechanism of the electronic component; and a fault dictionary establishing unit, configured to establish, according to the cause of failure mechanism and the characteristic value of the observable node, the electronic component fault dictionary with the cause of failure mechanism corresponding to failure characteristics of the node event.

Metadata:
- Claim Count in Document: 15.0
- Percentile: 86.0
- Lexical Diversity: 2.39706
- Patent Class: 702.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['14351862', '14981673', '15629961', '15392196', '11128136']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.1966007066815835
- 35 USC 102 Novelty (BERT): 0.4935322944420676
- Combined Prediction Score: 0.2262938654576319
- Mean Citation Score: 185.449702
- Max Citation Score: 258.2521
- Similarity Product: 200.34432618681788

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

Dataset: test