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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WR-D4007 | PC board communication adapter| RELIANCE ELECTRIC
S-D4006 | DI/DO control card | RELIANCE ELECTRIC
S-D4007 | 5 Oblique plate Midplane | RELIANCE ELECTRIC
S-D4008 | Multiplexer switch module | RELIANCE ELECTRIC
S-D4012 | Tension controller |RELIANCE ELECTRIC
SCXI-1127 | Multiplexer switch module | NI
SCXI-1125| SCXI voltage input module | NI
SCXI-1520 | Strain/bridge input modules | NI
SCXI-1000 | Machine box | NI
XV-440-10TVB-1-13-1 | Touch screen | EATON
LLS570-05 | Laser scanner | LAETUS
PRG-MODEM | Control module card key | GE
DL-1200/RTU | Input control panel | GE
WES5162-9101 | PLC control system | GE
WES5123-2600 | Servo drive module | GE
WES5162-9101 | Intelligent control | GE
WESCOM D200 VME | Input/output module | GE
WES5302-111 | Power drive board | GE
WES5302-150 | Power supply driver board | GE
WES5120 5120-1106 | Ethernet module | GE
WES5120 5120-1506 | General electric module | GE
WES13-3 | Converter trigger plate | GE
D20 MIC 10BASE-T | Automatic board |GE
D20 EME 10BASE-T | Digital input submodule | GE
WESDAC D20ME | Digital output subroutine |GE
D20 EME | Controls the I/O module | GE
3704E |Analog output circuit board | TRICONEX
1TGE120010R1300 | DCS card module | ABB
PU515A 3BSE032401R1 | Analog module | ABB
PU512V2 3BUR001401R1 | Digital output board | ABB
3500/93-03-01-00-00 | Analog module | BENTLY NEVADA
3500/93-02-02-02-00 | Pulse input submodule | BENTLY NEVADA
3500/93-01-00-00-00 | DCS spare parts | BENTLY NEVADA
3500/92-04-01-00 | DCS system module | BENTLY NEVADA
3500/92-01-01 | Communication gateway module | BENTLY NEVADA
3500/63-01-00 | Monitoring module | BENTLY NEVADA
3500/61(163179-02) | Power connection board | BENTLY NEVADA
3500/61(133819-02) | Temperature monitor | BENTLY NEVADA
3500/53-01-00 | Overspeed protection module | BENTLY NEVADA
3500/50-04-00 |Adapter module | BENTLY NEVADA
3500/50-01-01-00-00 | Programmable control module |BENTLY NEVADA
3500/50-01-00-01 |Digital input module l position module | BENTLY NEVADA
3500/50-01-00 | Speed module |BENTLY NEVADA
3500/45-01-00 |Expansion/axial position module | BENTLY NEVADA
3500/42-01-00 | Vibration module |BENTLY NEVADA
3500/33-01-00 |Key phase module | BENTLY NEVADA
3500/32-01-00 | Relay module |BENTLY NEVADA
3500/25-01-03-00 |Relay module | BENTLY NEVADA
3500/25-01-01-00 |Key phase module | BENTLY NEVADA
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