PATENT CLAIM ANALYSIS

Application Number: 15902474
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2018-08
Patent Classification: ["701", "031900"]

Abstract:
System and method for early detection of vehicle parts failure are disclosed. The method includes identifying discriminative rules from unstructured and structured data corresponding to subsystems of a vehicle. Causal parts categories are mapped to the subsystems based on the discriminative rules to obtain a plurality of causal part-subsystem pairs. The causal part categories are representative of vehicle parts responsible for failure of corresponding subsystems. Scores are assigned to the causal part-subsystem pairs based on an occurrence of causal part categories to a corresponding subsystem within a source. An emerging issue score is computed based on the scores, a corresponding weightage associated with the sources of the causal part category, and an extent of coverage of the each causal part in each of the plurality of causal part-subsystem pairs. The emerging issue score is compared with the threshold vehicle part failure score to identify causal part categories associated with vehicle parts failure.

Claim (Index 7):
A system for early detection for vehicle parts failure of a vehicle having a plurality of subsystems, the system comprising:\n one or more memories storing instructions; and one or more hardware processors coupled to said one or more memories, wherein said one or more hardware processors are configured by said instructions to:\n identify a plurality of discriminative rules from an unstructured data and a structured data corresponding to the plurality of subsystems, the unstructured data and a structured data derived from a plurality of sources; \n map based on the plurality of discriminative rules, a plurality of causal part categories associated with the structured data and the unstructured data with the plurality of subsystems to obtain a plurality of causal part-subsystem pairs, a causal part-subsystem pair comprising mapping of a causal part category with a corresponding subsystem, and wherein the plurality of causal part categories are representative of vehicle parts responsible for failure of a corresponding subsystem of the plurality of subsystems;\n assign a score to each of the plurality of causal part-subsystem pairs based on the pattern of occurrence of causal part categories corresponding to a subsystem of the plurality of subsystems within a source of the plurality of sources; \n compute, corresponding to each causal part category of the plurality of causal part categories, an emerging issue score based on the score assigned to each of the plurality of causal part-subsystem pairs and a corresponding weightage associated with a source of the plurality of sources of the causal part category, and an extent of coverage of the each causal part in each of the plurality of causal part-subsystem pairs; and \n identify one or more causal part categories associated with vehicle parts failure based on a comparison of the emerging issue score with a threshold vehicle part failure score.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 88.0
- Lexical Diversity: 2.40299
- Patent Class: 701.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['15057882', '13782914', '13677927', '14687748', '14815112']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4062937442171252
- 35 USC 102 Novelty (BERT): 0.4644507729455046
- Combined Prediction Score: 0.4121094470899632
- Mean Citation Score: 144.69352200000003
- Max Citation Score: 156.08485
- Similarity Product: 115.18562889144718

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

Dataset: test