PATENT CLAIM ANALYSIS

Application Number: 15863141
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2019-07
Patent Classification: ["701", "115000"]

Abstract:
Methods and systems are provided for rationalizing an engine knock sensor. In one example, a method may include, responsive to an indication of an engine knock event, correlating an output of the engine knock sensor with an output of an on-board microphone to determine degradation of the engine knock sensor. By rationalizing the engine knock sensor against another on-board sensor (e.g., the on-board microphone), diagnostic fidelity may be increased.

Claim (Index 19):
The system of  claim 18 , wherein determining the condition of the knock sensor based on the output of the knock sensor and the output of the microphone obtained during the detection of knock by the knock sensor comprises:\n transforming each of the output of the knock sensor and the output of the microphone obtained during the detection of knock into frequency domain; indicating the knock sensor is in the rational condition in response to a dominant frequency match between the transformed output of the knock sensor and the transformed output of the microphone; and indicating the knock sensor is in the degraded condition in response to a dominant frequency mismatch between the transformed output of the knock sensor and the transformed output of the microphone.

Metadata:
- Claim Count in Document: 26.0
- Percentile: 86.0
- Lexical Diversity: 1.83721
- Patent Class: 701.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14514142', '15467957', '15261411', '14535157', '13965000']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.461641711005434
- 35 USC 102 Novelty (BERT): 0.4789628964892133
- Combined Prediction Score: 0.463373829553812
- Mean Citation Score: 190.286616
- Max Citation Score: 204.50293
- Similarity Product: 153.744778769567

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

Dataset: test