Description
hardware flow control. It is an ideal choice in the field of industrial automation.
0 Preface
Germany”s “Industry 4.0″ and the United States” “Industrial Internet” will
restructure the world”s industrial layout and economic structure, bringing different challenges and
opportunities to countries around the world. The State Council of China issued “Made in China 2025” as an action plan
for the first ten years of implementing the strategy of manufacturing a strong country, which will accelerate the integrated
development of IoT technology and manufacturing technology [1]. IoT collects data on machine operations, material usage
, facility logistics, etc., bringing transparency to operators. This transparency is brought about by the application of data analytics,
which refers to the use of statistical and machine learning methods to discover different data characteristics and patterns. Machine
learning technology is increasingly used in various manufacturing applications, such as predictive maintenance, test time reduction,
supply chain optimization, and process optimization, etc. [2-4]. The manufacturing process of enterprises has gradually developed from
the traditional “black box” model to the “multi-dimensional, transparent and ubiquitous perception” model [5].
1 Challenges facing manufacturing analysis
The goal of manufacturing analytics is to increase productivity by reducing costs without compromising quality:
(1) Reduce test time and calibration, including predicting test results and calibration parameters;
(2) Improve quality and reduce the cost of producing scrap (bad parts) by identifying the root causes of scrap and optimizing
the production line on its own;
(3) Reduce warranty costs, use quality testing and process data to predict field failures, and cross-value stream analysis;
(4) Increase throughput, benchmark across production lines and plants, improve first-pass rates, improve first-pass throughput,
and identify the cause of performance bottlenecks such as overall equipment effectiveness (OEE) or cycle time;
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A6370D/DP 1 Channel Overspeed Protection Card
A6370D Channel overspeed protection card
A6500-FR Front Termination Rack
A6500-RR Redundant Relay Rack
A6500-SR System Rack
A6500-CC-P Package A6500-CC & A6500-PE
A6500-PE Prediction Extension License
A6500-CC System Communication Card
A6500-RC System Relay Card
A6500-UM Universal Measurement Card, Spee
P70530-SDN DC Microstepping Driver
P70530-PNN DC drive
P70360-SDN AC High Performance Microstep Driver
P70360-PNN Microstep AC Drive
S21260-VTS server Driver
S21260-SRS High performance servo drive
S20630-VTS server Driver
S20630-SRS server Driver
S20360-VTS-021 driver
S20360-VTS server Driver
S20360-SRS Brushless Servo Driver
S20360-CNS Node Servo Driver
S20350-VTS S200 Brushless Driver
S20350-CNS Node Servo Driver
S20330-VTS server Driver
S20260-VTS Industry produces sophisticated drive units
S20330-CNS-020 motion control technology
S20260-SRS Kollmorgen Servo Drives
S20260-CNS Node Servo Driver
S20250-VTS S200 Servo Drive
S20250-CNS Full digital servo driver
CR20560 AC drive controller
CR10661 10 amp drive amplifier
CR10561 Digital Driver Amplifier
CR10560 Servostar Series Amplifiers
CR10551 servo amplifier
CR10251 Servostar CD Drive Amplifier
CR10251 Servostar CD Drive Amplifier
CR10250 Industrial Drive Controller
CR06703 High Performance Servo Amplifier
CR06703-R drive amplifier
CR06561-MZ servo amplifier
CR06560 server Driver
CR06550 Precision Industrial Motor Drivers
CR06502 Industrial Motor Driver
CR06250 servo amplifier
CR06260 servo amplifier
CR06250 SEVOSTAR CD Amplifier
CR06200-000000 servo amplifier
CR03302 servo amplifier
CR03250 Servo Motor Driver Amplifier
CR03200-000000 compact drive
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