PATENT CLAIM ANALYSIS

Application Number: 15778441
Application Type: Utility
Filing Date: 2018-05
Publication Date: 2018-12
Patent Classification: ["123", "406180"]

Abstract:
A method for determining the angular position of an engine by a crankshaft sensor, having the following steps: production by the crankshaft sensor of a signal exhibiting a “revolution” event, determination of the revolution out of two revolutions, since a crankshaft makes two revolutions per engine cycle for a four-stroke engine, for each “no tooth” event potentially produced, a change in the direction of rotation of the engine is suspected, and an analysis step is performed which comprises: if, during an inverse window, a further “no tooth” event is produced, the change in direction of rotation is confirmed.

Claim (Index 2):
The method as claimed in  claim 1 , in which the analysis step additionally comprises:\n if in a direct window, at a distance from the preceding \u201crevolution\u201d event (T 1 ) equal to a crankshaft wheel revolution, toleranced by +/\u2212 the tolerance of teeth, a new \u201crevolution\u201d event is produced, the change in direction of rotation is invalidated, and if in the direct window no \u201crevolution\u201d event is produced, the change in direction of rotation is confirmed, each of the conditions being considered in its order of occurrence.

Metadata:
- Claim Count in Document: 13.0
- Percentile: 93.0
- Lexical Diversity: 1.9661
- Patent Class: 123.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['15769984', '16062363', '14660238', '14244154', '11960817']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7233461872971632
- 35 USC 102 Novelty (BERT): 0.5263078617628291
- Combined Prediction Score: 0.7036423547437298
- Mean Citation Score: 241.371388
- Max Citation Score: 344.07208
- Similarity Product: 203.8891942720032

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