PATENT CLAIM ANALYSIS

Application Number: 16173647
Application Type: Utility
Filing Date: 2018-10
Publication Date: 2019-05
Patent Classification: ["340", "680000"]

Abstract:
A system for detecting a damaged tool of multi-axis head machining equipment includes multi-axis head machining equipment, and a damaged tool detecting device connected to the multi-axis head machining equipment to detect a damaged tool, the damaged tool detecting device being configured to measure a current and a current change amount of the multi-axis head machining equipment to monitor a machining load, and a derivative and machining energy of the machining load, so as to detect whether there is an abnormality in a plurality of tools mounted on a multi-axis head during machining.

Claim (Index 1):
A system for detecting a damaged tool of multi-axis head machining equipment, comprising:\n multi-axis head machining equipment; and a damaged tool detecting device connected to the multi-axis head machining equipment to detect a damaged tool, wherein the damaged tool detecting device is configured to measure a current and a current change amount of the multi-axis head machining equipment to monitor a machining load, and a derivative and machining energy of the machining load, so as to detect whether there is an abnormality in a plurality of tools mounted on a multi-axis head during machining.

Metadata:
- Claim Count in Document: 20.0
- Percentile: 97.0
- Lexical Diversity: 2.22727
- Patent Class: 340.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['14499060', '13358150', '14131252', '14685735', '10780888']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6629426650741489
- 35 USC 102 Novelty (BERT): 0.4797368977234617
- Combined Prediction Score: 0.6446220883390802
- Mean Citation Score: 165.12192399999995
- Max Citation Score: 169.93163
- Similarity Product: 126.7900521998203

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