PATENT CLAIM ANALYSIS

Application Number: 16022331
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2018-10
Patent Classification: ["073", "514230"]

Abstract:
Provided is an accelerometer, and particularly to a quartz pendulous accelerometer, including a quartz meter, which is configured to sense an acceleration signal, convert the acceleration signal into an inertia torque and convert the inertia torque into a quartz meter output signal; a readout apparatus, which is configured to convert the meter output signal into an input signal recognizable by a pulse generating apparatus; a pulse generating apparatus, which is configured to perform control algorithm conversion, oversampling and digital quantization on the input signal to obtain a quantized current pulse, where the quantized current pulse is converted into an electromagnetic pulse torque for balancing the inertia torque. By means of a circuit design and a system stability design of the present disclosure, digital feedback is realized while quantizing a feedback current is implemented. Negative feedback is realized by adopting an oversampling technique, so that the linearity, the dynamic precision etc. of a closed-loop system are realized. In addition, applying a SDM achieves quantized noise shaping so as to realize purposes of low noise and digital quantity output.

Claim (Index 8):
The quartz pendulous accelerometer according to  claim 1 , wherein the quantized current pulse is a bit stream signal, and the bit stream signal is an oversampled modulated signal and comprises information about a magnitude and a polarity of a feedback force for balancing the inertia torque.

Metadata:
- Claim Count in Document: 15.0
- Percentile: 94.0
- Lexical Diversity: 2.27907
- Patent Class: 73.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['12210331', '15308216', '15318067', '10723159', '11651925']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.701650640557132
- 35 USC 102 Novelty (BERT): 0.4933456506221183
- Combined Prediction Score: 0.6808201415636306
- Mean Citation Score: 181.24057
- Max Citation Score: 212.79881
- Similarity Product: 147.21436859827637

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

Dataset: test