Description
IS210DTTCH1AA GE Steam Turbine System
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 Case Studies on Reducing Scrap Rates
Any product assembled or produced in a factory goes through a series of quality tests to determine whether it needs to be scrapped.
High scrap rates are caused by the opportunity cost of not delivering products to customers in a timely manner, wasted personnel time, wasted
non-reusable parts, and equipment overhead expenses. Reducing scrap rates is one of the main issues manufacturers need to address. Ways to
reduce scrap include identifying the root causes of low product quality.
3.1 Data processing
Root cause analysis begins by integrating all available data on the production line. Assembly lines, workstations, and machines make up the industrial
production unit and can be considered equivalent to IoT sensor networks. During the manufacturing process, information about process status,
machine status, tools and components is constantly transferred and stored. The volume, scale, and frequency of factory production considered in
this case study necessitated the use of a big data tool stack similar to the one shown in Figure 2 for streaming, storing, preprocessing, and
connecting data. This data pipeline helps build machine learning models on batch historical data and streaming real-time data. While batch
data analytics helps identify issues in the manufacturing process, streaming data analytics gives factory engineers regular access to the latest
issues and their root causes. Use Kafka (https://kafka.apache.org) and Spark streaming (http://spark.apache.org/streaming) to transmit real-time
data from different data sources; use Hadoo (http://hadoop.apache.org ) and HBase (https://hbase.apache.org) to store data efficiently; use
Spark (http://spark.apache.org) and MapReduce framework to analyze data. The two main reasons to use these tools are their availability as open
source products, and their large and active developer network through which these tools are constantly updated.
ABB Backplane DSQC 369 3HAC2424-1
ABB SR511 3BSE000863R1 voltage regulator
ABB PFSK102 YM322001-EG Reel supply device
ABB DSQC3041 3HAC063913-001 drive
ABB DSQC2002 3HNA026342-001 Mainboard of the I/O module
ABB DSQC1016 3HAC049807-001 switchboard
ABB DSQC 663 3HAC029818-001 Drive Unit
ABB DSQC 691 3HAC032267-001 SMB switch
ABB DSQC 643 3HAC024488-001 Panel Board
ABB DSQC 602 3HAC12816-1 Robot communication
ABB DSQC 631 3HAC021629-001 With cover
ABB DSQC 502 3HAC3618-1 I/O computer
DSQC461 3HAC049570-001 PDB extension
ABB DSQC 417 controller
ABB DSQC 406 Driving device
ABB DSQC 332A I/O unit
ABB DSPC 172 57310001-ML Processor module
ABB DSPC 170 57310001-GL Memory board
Abb DSMB 176 57360001-hx Memory board
ABB DSMB 144 57360001-EL Memory board
ABB DSDO 110 57160001-K Digital output board
ABB DSDI 115 57160001-NV digital input unit
ABB DSCA 114 57510001-AA Asynchronous communication board
ABB DSBC 172 57310001-KD Bus repeater host
ABB DSBB 175 57310256-CC MXB bus backplane
ABB DSAO 110 57120001-AT I/O module
ABB DSAI 145 57120001-HA Analog Input Unit
ABB DSAI110 57120001-DP Analog input
ABB DSAI 130 57120001-P analog input
ABB DAPI100 3AST000929R10 Ethernet MVI
DSQC1023 3HAC058038-001 Industrial switch
DSQC633A 3HAC031851-001 Robot bottom plate
DSQC639 ABB 3HAC025097-001 Main computer
Yaskawa JZNC-XPP02B Robot instructor
YAMATAKE EST0240Z05WBX00 Man-machine interface
WAVECREST DTS-2079 Controller module
VMIVME Model 2533 Assy No 332-002533-010E
Vibro meter 620-002-000-113 620-003-111-112 VM600-XIO16T
Vibro-meter 600-003-620 001-001-116 VM600-XMV16
Vibro-meter 200-595-100-014 200-595-072-122 VM600 CPUM
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