PATENT CLAIM ANALYSIS

Application Number: 15966089
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2019-10
Patent Classification: ["348", "126000"]

Abstract:
A detection system and associated detection method for detecting an arcing phenomenon in a chamber are provided. In the chamber, a plurality of semiconductor chips are manufactured on at least one wafer. The detection system includes at least one optical sensor and a control circuit. Being configured for detecting the intensity of the light signal in the chamber, the at least one optical sensor is placed in the chamber. Accordingly, the optical sensor generates a plurality of intensity detected results, wherein the light signal continuously lasts in the chamber while the plurality of semiconductor chips are manufactured. The control circuit is in communication with the optical sensor. Then, the control circuit identifies whether the arcing phenomenon occurred according to the plurality of intensity detected results.

Claim (Index 14):
A detection method for detecting an arcing phenomenon in a chamber, in which a plurality of semiconductor chips are manufactured on at least one wafer and an optical sensor is placed, wherein the detection method comprises steps of:\n detecting intensity of light signal in the chamber and accordingly generating a plurality of intensity detected results by the optical sensor, wherein the light signal continuously lasts in the chamber while the plurality of semiconductor chips are manufactured; and identifying whether the arcing phenomenon occurred according to the plurality of intensity detected results.

Metadata:
- Claim Count in Document: 47.0
- Percentile: 91.0
- Lexical Diversity: 2.32203
- Patent Class: 348.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15351916', '11855850', '11576191', '11687615', '11149896']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6188484254704144
- 35 USC 102 Novelty (BERT): 0.4727234425480328
- Combined Prediction Score: 0.6042359271781763
- Mean Citation Score: 132.64545719999998
- Max Citation Score: 152.54872
- Similarity Product: 110.182702424016

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