PATENT CLAIM ANALYSIS

Application Number: 15992134
Application Type: Utility
Filing Date: 2018-05
Publication Date: 2019-01
Patent Classification: ["257", "467000"]

Abstract:
An accelerometer based on convective thermal transport through a fluid is structured without a solid proof mass. Thermal transport through the fluid is sourced and sensed by thermal elements. The thermal elements are comprised of phononic structures which increase power efficiency for accelerometer operation and provide an increased sensitivity to acceleration vectors. The temperature of the sensing element is a function of the vectored acceleration of the enclosed cavity structure. The accelerometer in embodiments provides an extended range for multi-axis accelerations from excitations such as vibration, shock and gravity. Integration of the accelerometer with CMOS signal conditioning circuitry on the same die is convenient.

Claim (Index 20):
A method for sensing acceleration based on the convective accelerometer of  claim 1  and the use of an acceleration analyzer, wherein the method is comprised of a sequence of steps:\n position the convective accelerometer on a calibrated rate table programmed with known vectored accelerations to obtain a calibration database1 of vectored accelerations; \n operate the convective accelerometer in an application acceleration environment to obtain a calibration database2 of sensor signal levels. \n develop a multivariate algorithm to uniquely specify a vectored magnitude accelerations for application accelerometer signals based on calibration database1 and calibration database2; \n operate the accelerometer in an application environment and obtain database3 comprised of application accelerometer signals. \n determine the vectored magnitude accelerations corresponding to signal levels contained within database3 using the acceleration analyzer programmed with the multivariate algorithm.

Metadata:
- Claim Count in Document: 7.0
- Percentile: 93.0
- Lexical Diversity: 1.48
- Patent Class: 257.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15805698', '15626151', '15083286', '11146993', '11684633']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.8974678755957303
- 35 USC 102 Novelty (BERT): 0.506566381557596
- Combined Prediction Score: 0.8583777261919169
- Mean Citation Score: 209.272176
- Max Citation Score: 248.84402000000003
- Similarity Product: 177.3010171751297

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