Description
hardware flow control. It is an ideal choice in the field of industrial automation.
(2) Data collection and traceability issues. Data collection issues often occur, and many assembly lines lack “end-to-end traceability.”
In other words, there are often no unique identifiers associated with the parts and processing steps being produced.
One workaround is to use a timestamp instead of an identifier. Another situation involves an incomplete data set. In this case, omit
incomplete information parts or instances from the forecast and analysis, or use some estimation method (after consulting with manufacturing experts).
(3) A large number of features. Different from the data sets in traditional data mining, the features observed in manufacturing analysis
may be thousands. Care must therefore be taken to avoid that machine learning algorithms can only work with reduced datasets (i.e.
datasets with a small number of features).
(4) Multicollinearity, when products pass through the assembly line, different measurement methods are taken at different stations
in the production process. Some of these measurements can be highly correlated, however many machine learning and data mining
algorithm properties are independent of each other, and multicollinearity issues should be carefully studied for the proposed analysis method.
(5) Classification imbalance problem, where there is a huge imbalance between good and bad parts (or scrap, that is, parts that do not
pass quality control testing). Ratios may range from 9:1 to even lower than 99,000,000:1. It is difficult to distinguish good parts from scrap
using standard classification techniques, so several methods for handling class imbalance have been proposed and applied to manufacturing analysis [8].
(6) Non-stationary data, the underlying manufacturing process may change due to various factors such as changes in suppliers
or operators and calibration deviations in machines. There is therefore a need to apply more robust methods to the non-stationary
nature of the data. (7) Models can be difficult to interpret, and production and quality control engineers need to understand the analytical
solutions that inform process or design changes. Otherwise the generated recommendations and decisions may be ignored.
Excitation system ABB module 3BSC950192R1
Excitation system ABB module 3BSC690126R2
Excitation system ABB module 3BSC690103R2
Excitation system ABB module 3BSC690103R1
Excitation system ABB module 3BSC690102R2
Excitation system ABB module 3BSC690102R1
Excitation system ABB module 3BSC690076R5
Excitation system ABB module 3BSC630149R0001PXUB201
Excitation system ABB module 3BIE010749
Excitation system ABB module 3BHT300036R1
Excitation system ABB module 3BHT300032R1
Excitation system ABB module 3BHT300025R1
Excitation system ABB module 3BHL000986P7002
Excitation system ABB module 3BHL000986P7001 LWN1902-6
Excitation system ABB module 3BHL000986P7001
Excitation system ABB module 3BHL000986P7001
Excitation system ABB module 3BHL000986P7000
Excitation system ABB module 3BHL000986P0006
Excitation system ABB module 3BHL000986P0006
Excitation system ABB module 3BHL000764P0001
Excitation system ABB module 3BHL000396P0001
Excitation system ABB module 3BHL000392P0101
Excitation system ABB module 3BHL000391P0101
Excitation system ABB module 3BHL000390P0104 5SHX1960L0004
Excitation system ABB module 3BHL000320P0001
Excitation system ABB module 3BHL000250P0002
Excitation system ABB module 3BHE059696R0001
Excitation system ABB module 3BHE056573R0101
Excitation system ABB module 3BHE041464R0101
Excitation system ABB module 3BHE039770R0102 PPD539A102
Excitation system ABB module 3BHE039426R0101 UFC912A101
Excitation system ABB module 3BHE039203R0101 GVC736CE101
Excitation system ABB module 3BHE039203R0101
Excitation system ABB module 3BHE037864R0106
Excitation system ABB module 3BHE037864R0106
Excitation system ABB module 3BHE035301R0003
Excitation system ABB module 3BHE035301R0001
Excitation system ABB module 3BHE033067R0101
Excitation system ABB module 3BHE032285R0102 XVC772A102
Excitation system ABB module 3BHE032285R0102
Excitation system ABB module 3BHE032025R0101
Excitation system ABB module 3BHE031065R0020
Excitation system ABB module 3BHE029110R0111
Excitation system ABB module 3BHE029110R0111
Excitation system ABB module 3BHE028959R0101 PPC902CE101
Excitation system ABB module 3BHE028761R1002
Excitation system ABB module 3BHE028761R1001
Excitation system ABB module 3BHE027859R0102 DDC779CE102
Excitation system ABB module 3BHE026284R0102
Excitation system ABB module 3BHE024855R1101
Excitation system ABB module 3BHE024855R0101
Excitation system ABB module 3BHE024855R0101
Excitation system ABB module 3BHE024577R0101 PPC907BE
Excitation system ABB module 3BHE024577R0101 HIEE401807R0001
Excitation system ABB module 3BHE024577R0101
Excitation system ABB module 3BHE024577R0101
Excitation system ABB module 3BHE024415R0101
Excitation system ABB module 3BHE023584R2025
Excitation system ABB module 3BHE022455R1101
Excitation system ABB module 3BHE022333R0101
Excitation system ABB module 3BHE022294R0101 GFD233
Excitation system ABB module 3BHE022294R0101
Excitation system ABB module 3BHE022287R0001
Excitation system ABB module 3BHE021951R0124
Excitation system ABB module 3BHE021951R0124
Excitation system ABB module 3BHE021889R0101 UFC721BE101
Excitation system ABB module 3BHE021889R0101
Reviews
There are no reviews yet.