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.
Excitation system ABB module CI840
Excitation system ABB module CI830 3BSE020773R1401
Excitation system ABB module CI830
Excitation system ABB module CI830
Excitation system ABB module CI820V1
Excitation system ABB module CI820-2
Excitation system ABB module CI820-1
Excitation system ABB module CI820
Excitation system ABB module CI810V2
Excitation system ABB module CI810V1
Excitation system ABB module CI810V1
Excitation system ABB module CI810B 3BSE020520R1
Excitation system ABB module CI810B
Excitation system ABB module CI810B
Excitation system ABB module CI810B
Excitation system ABB module CI810A
Excitation system ABB module CI810
Excitation system ABB module CI801kit
Excitation system ABB module CI801-eA
Excitation system ABB module CI801-2
Excitation system ABB module CI801
Excitation system ABB module CI801
Excitation system ABB module CI801
Excitation system ABB module CI773F 3BDH000395R0005
Excitation system ABB module CI773F
Excitation system ABB module CI773F
Excitation system ABB module CI773
Excitation system ABB module CI741F
Excitation system ABB module CI687K01
Excitation system ABB module CI627A 3BSE017457R1
Excitation system ABB module CI627A 3BSE008799R1
Excitation system ABB module CI627A
Excitation system ABB module CI627 3BSE009799R1
Excitation system ABB module CI627
Excitation system ABB module CI627
Excitation system ABB module CI626V1
Excitation system ABB module CI626A 3BSE005029R1
Excitation system ABB module CI626
Excitation system ABB module CI615
Excitation system ABB module CI610
Excitation system ABB module CI570 3BSE001440R1
Excitation system ABB module CI547
Excitation system ABB module CI546 3BSE012545R1
Excitation system ABB module CI546 3BSE012545R1
Excitation system ABB module CI541V1 3BSE014666R1
Excitation system ABB module CI540 3BSE001077R1
Excitation system ABB module CI535V30 3BSE022162R1
Excitation system ABB module CI534V02 3BSE010700R1
Excitation system ABB module CI532V09
Excitation system ABB module CI532V05 3BSE007297R1
Excitation system ABB module CI532V03
Excitation system ABB module CI522A 3BSE018283R1
Excitation system ABB module CI522A 3BSE018283R1
Excitation system ABB module CI522A
Excitation system ABB module CI520V1
Excitation system ABB module CD722F
Excitation system ABB module CB810
Excitation system ABB module CB801 3BSE042245R1
Excitation system ABB module CB801
Excitation system ABB module CB801
Excitation system ABB module CB801
Excitation system ABB module CB220S
Excitation system ABB module CB220N
Excitation system ABB module CB220B
Excitation system ABB module CAI04
Reviews
There are no reviews yet.