PATENT CLAIM ANALYSIS

Application Number: 15871104
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2018-09
Patent Classification: ["700", "184000"]

Abstract:
A control system that can adjust a period required for detecting an abnormality occurring in a control object is provided. The control system includes: feature quantity creating means that creates a feature quantity from data which is acquired from the control object based on a first parameter associated with elements defining the feature quantity; deviation acquiring means that acquires a degree of deviation between the feature quantity created by the feature quantity creating means and a group of feature quantities stored by a storage means based on a second parameter associated with a range in the group of feature quantities; abnormality detecting means that detects an abnormality occurring in the control object based on the degree of deviation acquired by the deviation acquiring means and a threshold value; and instruction means that instructs the deviation acquiring means to start execution based on an execution cycle of the deviation acquiring means.

Claim (Index 11):
The control system according to  claim 1 , further comprising preliminary storage means that stores the group of feature quantities of data which is acquired from the control object in the storage means in advance before the degree of deviation is acquired by the deviation acquiring means.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 86.0
- Lexical Diversity: 2.4
- Patent Class: 700.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['15784959', '11061880', '12325493', '12136982', '12871283']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3981640765036487
- 35 USC 102 Novelty (BERT): 0.4879928073594667
- Combined Prediction Score: 0.4071469495892305
- Mean Citation Score: 176.24545200000003
- Max Citation Score: 184.62733
- Similarity Product: 114.1347563778746

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

Dataset: test