Description
DL-1200/RTU GE Fanuc Controller Carrie
высотой 3U, расположенный в раме управления под DSPX.
волоконно – оптический разъем на передней панели и передаются в модуль обнаружения заземления.
ABB: Запасные части для промышленных роботов серии DSQC, Bailey INFI 90, IGCT, например: 5SHY6545L0001 AC1027001R0101 5SXE10 – 0181, 5SHY3545 L0009, 5SHI3545L0010 3BHB013088 R0001 3BHE009681R0101 GVC750BE101, PM866, PM861K01, PM864, PM510V16, PPD512, PPPD113, PP836A, P865A, 877, PPP881, PPPP885, PPSL500000 4 3BHL00390P0104 5SGY35L4510 и т.д.
General Electric: запасные части, такие как модули, карты и приводы. Например: VMVME – 7807, VMVME – 7750, WES532 – 111, UR6UH, SR469 – P5 – HI – A20, IS230SRTDH2A, IS220PPDAH1B, IS215UCVEH2A, IC698CPE010, IS200SRTDH2ACB и т.д.
Система Bently Nevada: 350 / 3300 / 1900, предохранительные зонды и т.д., например: 3500 / 22M, 3500 / 32, 3500 / 15, 3500 / 23500 / 42M, 1900 / 27 и т.д.
Системы Invis Foxboro: Серия I / A, управление последовательностью FBM, трапециевидное логическое управление, обработка отзыва событий, DAC,
обработка входных / выходных сигналов, передача и обработка данных, такие как FCP270 и FCP280, P0904HA, E69F – TI2 – S, FBM230 / P0926GU, FEM100 / P0973CA и т.д.
Invis Triconex: Модуль питания, модуль CPU, модуль связи, модуль ввода – вывода, например 300830937214351B, 3805E, 831235114355X и т.д.
Вудворд: контроллер местоположения SPC, цифровой контроллер PEAK150, например 8521 – 0312 UG – 10D, 9907 – 149, 9907 – 162, 9907 – 164, 9907 – 167, TG – 13 (8516 – 038), 8440 – 1713 / D, 9907 – 018 2301A, 5466 – 258, 8200 – 226 и т.д.
Hima: модули безопасности, такие как F8650E, F8652X, F8627X, F8678X, F3236, F6217, F6214, Z7138, F8651X, F8650X и т.д.
Honeywell: Все платы DCS, модули, процессоры, такие как: CC – MCAR01, CC – PAIH01, CC – PAIH02, CC – PAIH51, CC – PAIX02, CC – PAON01, CC – PCF901, TC – CR014, TC – PD011, CC – PCNT02 и т.д.
Motorola: серии MVME162, MVME167, MVME172, MVME177, такие как MVME5100, MVME5500 – 0163, VME172PA – 652SE, VME162PA – 344SE – 2G и другие.
Xycom: I / O, платы VME и процессоры, такие как XVME – 530, XVME – 674, XVME – 957, XVME – 976 и т.д.
Коул Морган: Сервоприводы и двигатели, такие как S72402 – NANA, S6201 – 550, S20330 – SRS, CB06551 / PRD – B040SSIB – 63 и т. Д.
Bosch / Luxer / Indramat: модуль ввода / вывода, контроллер PLC, приводной модуль, MSK060C – 0600 – NN – S1 – UP1 – NNN, VT2000 – 52 / R900033828, MHD041B – 144 – PG1 – UN и т.д.
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.
Pacific Scientific OC950-501-01 positioning option card
Pacific Scientific 105-641003 PC board
Pacific Scientific 105-641001-01 microstepping driver
BENTLY 3500/05-01-02-05-00-01 System Rack
Pacific Scientific 105-564001-01 pc board
Pacific Scientific 105-524002-01 emulator board
Pacific Scientific 105-524001-03 Indexer/Driver Board
Pacific Scientific 105-09598-01 105 motion control board
Pacific Scientific 105-095006-01 Programmable option memory card
Pacific Scientific 105-095001-01 105 series motion control card
Pacific Scientific 105-094001-01 motion control card
Pacific Scientific 105-093004-01 105 motion control board
Pacific Scientific 105-090301-01 motion control card
Pacific Scientific 105-090202-01 105 motion control card
Pacific Scientific 105-090001-01 printed circuit board
Pacific Scientific 105-0730010-01 A printed circuit board
Pacific Scientific 105-072001-01 motion control panel
Pacific Scientific 105-070005-01 printed circuit board unit
Pacific Scientific 105-070001-05 circuit board
Pacific Scientific 105-050010 pc board
Pacific Scientific 105-050001-01 Simulation board
Pacific Scientific 105-040300-01 circuit board
Pacific Scientific 105-040200-02 motion control panel
Pacific Scientific 105-032002-01 motion control card
MMS 6720 With integrated output relay card
MMS 6710 Four channel isolation amplifier
MMS 6620 I/O card with 4 analog inputs
MMS 6418 Absolute-/ Relative Expansion Measuring Amplifier
MMS 6410 Two-channel displacement transducer
MMS 6312 Two-channel speed monitor
MMS 6310 Two-channel phase mark monitor
MMS 6220 Two-channel rotor eccentricity monitor
MMS 6120 Static Displacement Monitor
MMS 6140 Dual Channel Rotor Vibration Monitor
MMS 6140 Dual Channel Rotor Monitor
MMS 6125/10 Dual Channel Absolute Vibration Monitor
MMS 6125/00 Dual Channel Absolute Vibration Monitor
MMS 6120 Dual Channel Absolute Vibration Monitor
MMS 6110 Dual Channel Shaft Vibration Monitor
A6510 Signal Input Module
A6560RT Transient – Digital Condition Recorder
A6560R Prediction Processor
EZ1000 Eddy Current Converter
A6371/10 Backplane with slots for 3 measurement cards
A6371/00 Backplane with slots for 3 measurement cards
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