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 10):
A method for detecting a damaged tool of multi-axis head machining equipment, the method comprising:\n initiating machining performed by the multi-axis head machining equipment; and by a damaged tool detecting device connected to the multi-axis head machining equipment, detecting whether there is an abnormality in a tool during machining of the multi-axis head machining equipment, wherein, in detecting whether the abnormality is present in the tool, machining load monitoring, derivative monitoring and energy monitoring are sequentially performed by the damaged tool detecting device.

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): 0.6609840464339415
- 35 USC 102 Novelty (BERT): 0.4880819951405663
- Combined Prediction Score: 0.643693841304604
- Mean Citation Score: 165.12192399999995
- Max Citation Score: 169.93163
- Similarity Product: 117.74326677685976

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