PATENT CLAIM ANALYSIS

Application Number: 16083665
Application Type: Utility
Filing Date: 2018-09
Publication Date: 2019-02
Patent Classification: ["701", "041000"]

Abstract:
A sensor device includes: multiple sensor units, each of which includes multiple sensor elements and a signal processing unit that generates and transmits an output signal including multiple detection signals corresponding to detection values of the sensor elements; and multiple control units, each of which includes a communication unit that receives the output signal, an abnormality monitoring unit that monitors abnormality of the respective sensor unit, and a physical quantity computation unit that computes a physical quantity based on at least one of the detection signals which is normal. One control unit mutually transmits and receives the detection signals as subject sensor signals received from the respective sensor unit and the detection signals as other sensor signals received from another one of the control units with another system control unit.

Claim (Index 3):
The sensor device according to  claim 2 , wherein:\n the abnormality monitoring unit identifies one of the sensor elements that is abnormal using the subject sensor signals and at least one of the other sensor signals when the abnormality monitoring unit detects the abnormality of the sensor elements based on the subject sensor signals.

Metadata:
- Claim Count in Document: 3.0
- Percentile: 97.0
- Lexical Diversity: 2.33898
- Patent Class: 701.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['15685919', '14912172', '15158283', '14431821', '15124460']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4757747618334103
- 35 USC 102 Novelty (BERT): 0.4784306503351851
- Combined Prediction Score: 0.4760403506835878
- Mean Citation Score: 219.725494
- Max Citation Score: 234.48898
- Similarity Product: 197.1244660295725

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

Dataset: test