PATENT CLAIM ANALYSIS

Application Number: 16174178
Application Type: Utility
Filing Date: 2018-10
Publication Date: 2019-05
Patent Classification: ["381", "056000"]

Abstract:
An abnormality detecting device includes a memory, and a processor coupled to the memory and configured to: detect an envelope of an audio signal indicating a periodic sound emitted by a target object and a periodic sound emitted by another object; execute time-to-frequency conversion on the envelope to calculate a frequency spectrum of the audio signal; and determine whether or not the target object has an abnormality, based on a frequency component included in the frequency spectrum and corresponding to a time interval between time points when the sound is emitted by the target object.

Claim (Index 2):
The abnormality detecting device according to  claim 1 ,\n wherein the target object is a rotating device having a predetermined number of blades, and wherein the processor is further configured to detect multiple peaks of the frequency spectrum, calculate, for each of combinations, each of which includes two peaks among the multiple peaks, the ratio of a frequency corresponding to one of two peaks included in the combination to a frequency corresponding to the other of the two peaks included in the combination, and estimate, as a frequency corresponding to the time interval between the time points when the sound is emitted by the target object, lower one of frequencies corresponding to two peaks included in a combination that is among the combinations and causes the difference between the ratio of the frequencies corresponding to the peaks of the combination and the predetermined number of blades to be the smallest among differences between the ratios calculated for the combinations and the predetermined number of blades.

Metadata:
- Claim Count in Document: 5.0
- Percentile: 97.0
- Lexical Diversity: 1.87037
- Patent Class: 381.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['10586996', '12593195', '14418680', '16139283', '10052309']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6353036514776798
- 35 USC 102 Novelty (BERT): 0.4777103767162164
- Combined Prediction Score: 0.6195443240015334
- Mean Citation Score: 122.512871
- Max Citation Score: 126.88823
- Similarity Product: 89.10872724834799

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