PATENT CLAIM ANALYSIS

Application Number: 15762200
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2018-10
Patent Classification: ["318", "135000"]

Abstract:
The invention relates to a self-learning repetitive method for an electrical drive or motor, in particular a linear or slewing drive, for determining the maximum speed during the movement of the actuator between a starting point (SP) and an end point (EP), wherein the actuator is accelerated to a speed v max  over a first distance (x beschl ), is braked over a second distance (x brems ) and is then moved at a safe low speed (v safe ) over a third distance (x safe ) as far as the stop and is stopped. The method is repeated with the aim of minimizing the third distance (x Safe,min ) and thereby achieving the maximum speed (BPmax, v max ). The method also provides for taking into account the external interfering influences, for example external forces and friction. The invention also relates to such an electrical drive.

Claim (Index 6):
Method according to  claim 5 , characterized in that the interfering influences are detected by means of an acceleration monitoring process.

Metadata:
- Claim Count in Document: 5.0
- Percentile: 90.0
- Lexical Diversity: 2.08642
- Patent Class: 318.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['15767565', '12229800', '11628736', '10545299', '15823105']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.653917091895072
- 35 USC 102 Novelty (BERT): 0.4802260278842336
- Combined Prediction Score: 0.6365479854939882
- Mean Citation Score: 121.5551082
- Max Citation Score: 125.566246
- Similarity Product: 80.548957574777

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