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 10):
The system of  claim 7 , wherein the unstructured data comprises one or more of complaint logs, appointment logs, surveys, opinion expressed by customers on web, and warranty data.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 88.0
- Lexical Diversity: 2.40299
- Patent Class: 701.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['15057882', '13782914', '13677927', '14687748', '14815112']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4253857567979561
- 35 USC 102 Novelty (BERT): 0.5045499030836834
- Combined Prediction Score: 0.4333021714265289
- Mean Citation Score: 144.69352200000003
- Max Citation Score: 156.08485
- Similarity Product: 79.94148716210722

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