Description
hardware flow control. It is an ideal choice in the field of industrial automation.
3.2 Machine learning
As the functionality of distributed computing tools such as Spark MLLib (http://spark.apache.org/mllib) and SparkR (http://spark.apache
.org/docs/latest/index.html) increases, it becomes It is easier to implement distributed and online machine learning models, such as support
vector machines, gradient boosting trees and decision trees for large amounts of data. Test the impact of different machine parameters and process
measurements on overall product quality, from correlation analysis to analysis of variance and chi-square hypothesis testing to help determine the impact of individual
measurements on product quality. This design trains some classification and regression
models that can distinguish parts that pass quality control from parts that do not. The trained models can be used to infer decision rules. According to the highest purity rule,
purity is defined as Nb/N, where N is the number of products that satisfy the rule and Nb is the total number of defective or bad parts that satisfy the rule.
Although these models can identify linear and nonlinear relationships between variables, they do not represent causal relationships. Causality is critical to
determining the true root cause, using Bayesian causal models to infer causality across all data.
3.3 Visualization
A visualization platform for collecting big data is crucial. The main challenge faced by engineers is not having a clear and comprehensive overview of the complete manufacturing
process. Such an overview will help them make decisions and assess their status before any adverse events occur. Descriptive analytics uses tools such as
Tableau (www.tableau.com) and Microsoft BI (https://powerbi.microsoft.com/en-us) to help achieve this. Descriptive analysis includes many views such as
histograms, bivariate plots, and correlation plots. In addition to visual statistical descriptions,
a clear visual interface should be provided for all predictive models. All measurements affecting specific quality parameters can be visualized and the data
on the backend can be filtered by time.
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3500/22-01-01-00 | Control system module |BENTLY NEVADA
3500/20-02-02-00 | Frame interface module | BENTLY NEVADA
3500/20-01-01-00 | Frame interface module |BENTLY NEVADA
3500/15-02-02-00 | Power module | BENTLY NEVADA
3500/05-02-04-00-00-00 | Instrument frame |BENTLY NEVADA
3500/05-01-02-00-01 | Instrument frame | BENTLY NEVADA
3500/05-01-02-00-00-00 | Instrument frame |BENTLY NEVADA
3500/05-01-01-00-00-00 |Feeder protection relay | BENTLY NEVADA
3300/55-03-01-15-15-00-00-01-00 | Robot power panel |BENTLY NEVADA
3300/52-02-00-00 | System monitor | BENTLY NEVADA
3300/50-01-01-00-00 | System monitor |BENTLY NEVADA
3300/48-04-02-00-00 | Analog output module | BENTLY NEVADA
3300/47-01-04-01-00 | Temperature input module |BENTLY NEVADA
3300/46-04-02-01-00 | Armored eddy current probe |BENTLY NEVADA
3300/45-01-01-01-00| DCS/ distributed control system |BENTLY NEVADA
3300/40-12-01-01-00-00 | Mainboard of the I/O module |BENTLY NEVADA
3300/35-12-02-01-00-02 | Controller module |BENTLY NEVADA
3300/20-12-01-03-00 | Control system I/O module |BENTLY NEVADA
3300/16-13-01-00-00-00-00 | PLC module |BENTLY NEVADA
3300/20-12-01-00-00-00 |Monitoring module |BENTLY NEVADA
3300/16-13-01-00-00-00-00 | Power module |BENTLY NEVADA |Brand new
3300/16-12-01-01-00-00-02 | Dual channel vibration monitor |BENTLY NEVADA
3300/16-12-01-01-00-00-01 | Dual channel vibration monitor |BENTLY NEVADA |Brand new
3300/16-12-01-01-00-00-00 | Network interface module |BENTLY NEVADA |Brand new
3300/16-11-01-03-00-00-01 | Vibration monitor |BENTLY NEVADA | In stock
3300/14-01-02-00 | Analog input module |BENTLY NEVADA |Brand new
3300/12-03-20-00 | Processor module |BENTLY NEVADA | In stock
3300/12-02-22-01 | Power monitoring module |BENTLY NEVADA |Adequate stock
3300/12-01-20-00 | Dual channel vibration monitor |BENTLY NEVADA | In stock
3300/05-22-00-00 | Monitoring module |BENTLY NEVADA |Adequate stock
3300/03-03-00 | Monitoring module |BENTLY NEVADA | In stock
3300/03-02-01 | Monitoring module |BENTLY NEVADA |Brand new
3300/03-01-00| Monitoring module |BENTLY NEVADA | In stock
3500/44 | Aero-engine monitor |BENTLY NEVADA |Brand new
3500/65 | 16 channel temperature module |BENTLY NEVADA | In stock
3500/62 | Procedure variable monitor module |BENTLY NEVADA |Off the shelf, brand new
3500/64M | Dynamic pressure monitor |BENTLY NEVADA |Off the shelf, brand new
3500/61 |Temperature monitor module |BENTLY NEVADA |Off the shelf, brand new
3500/34 | TMR relay module |BENTLY NEVADA |Off the shelf, brand new
3500/95 |System integrated PC display device |BENTLY NEVADA |Off the shelf, brand new
3500/94 |VGA display unit |BENTLY NEVADA |Off the shelf, brand new
3500/93 |LCD display unit |BENTLY NEVADA |Off the shelf, brand new
3500/63 |Gas monitor |BENTLY NEVADA |Off the shelf, brand new
3500/72M |Piston rod position monitor |BENTLY NEVADA
3500/70M |Monitor module |BENTLY NEVADA
TK-3E/TK3-2E |calibrator |BENTLY NEVADA
IC697MDL740 | GE |Network communication module
IC697MDL671 | GE | Interrupt input module
IC698CHS117C | GE | rack
IC698CPE010 | GE | Module communication
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