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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8C-PDILA1 | HONEYWELL | Digital Input 24V (Coated)
8C-TAOXB1 | HONEYWELL | AO IOTA Redundant (Coated)
8C-TAOXA1| HONEYWELL | AO IOTA (Coated)
8C-PAONA1 | HONEYWELL | Analog Output w/o HART (Coated)
8C-PAOHA1 | HONEYWELL | Analog Output HART (Coated)
8C-TAIMA1 | HONEYWELL | Low-level AI IOTA (Coated)
8C-PAIMA1 | HONEYWELL | I/O Module (Coated) Low-level AI – RTD & TC
8C-TAIXB1 | HONEYWELL | IOTA (Coated) AI Redundant
8C-TAIXA1 | HONEYWELL | AI IOTA (Coated)
8C-PAIHA1 | HONEYWELL | I/O Module (Coated) High-level AI HART, Single-ended
8C-TAIDB1 | HONEYWELL | AI IOTA Redundant (Coated)
8C-PAIH54 | HONEYWELL | I/O Module (Coated)
8C-TAIDA1 | HONEYWELL | IOTA (Coated)
51305980-836 | HONEYWELL | Cable, Redundant C300 Controller
8U-TCNTA1 | HONEYWELL | Series 8 C300 Controller I/O Termination Assembly, Uncoated
8U-PCNT02 | HONEYWELL | Series 8 C300 Controller, Uncoated
8C-TCNTA1 | HONEYWELL | Series 8 C300 Controller I/O Termination
8C-PCNT02 | HONEYWELL | Series 8 C300 Controller Coated
SPIIT13 | ABB | communication module
INIIT13 | ABB | Network local transmission communication module
SPICI03-SCIL | ABB | Timer Master Module
INICI03 | ABB | Timer Master Module
SPSOE01 | ABB | Sequence of Events Main Module
INSOE01 | ABB | Sequence of Events Main Module
IMASO11 | ABB | Analog output module
SPDSI14 | ABB | digital input module
IMDSI22 | ABB | Digital Signal Input Module
IMFCS01 | ABB | Frequency Counter Slave Module
SPFCS01 | ABB | Frequency Counter Module
SPDSM04 | ABB | digital output module
SPFEC12 | ABB | Analog input module
IMCIS22 | ABB | Infi 90 Control I/O Slave Module
SPSET01 | ABB | I/O module
SPCIS22 | ABB | I/O module
IMQRS22 | Bently Nevada | Quick Response Module
IMCPM01 | ABB | communication port module
330704-000-050-10- 02-05 | Bently Nevada | proximity detector
IMQRS22 | ABB | Interference within the LC system
SPQRS22 | ABB | Quick Response Module
330103-00-03-10-02-05 | Bently Nevada | proximity detector
330104-00-13-10-02-05 | Bently Nevada | 3300 XL 8 mm Proximity Sensor
330780-90-05 | Bently Nevada | 3300 XL front sensor
330106-05-30-05-02-05 | Bently Nevada | 3300 XL 8mm Reverse Mount Probe
330500-00-02 | Bently Nevada | piezoelectric speed sensor
330130-085-02-05 | Bently Nevada | 3300 XL Extension Cable
330161-02-85-05-94-01-02 | Bently Nevada | Single triaxial high voltage feedthrough of 3300 system
133292-01 | Bently Nevada | Low Voltage DC Power Module
3500/15-07-00-00 | Bently Nevada | 3500/15 Power Module
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