Description
HE693THM809 Horner Electric
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.
(5) Perform predictive maintenance, analyze machine operating conditions, determine the main
causes of failures, and predict component failures to avoid unplanned downtime.
Traditional quality improvement programs include Six Sigma, Deming Cycle, Total Quality Management (TQM), and Dorian Scheinin’s
Statistical Engineering (SE) [6]. Methods developed in the 1980s and 1990s are typically applied to small amounts
of data and find univariate relationships between participating factors. The use of the MapReduce paradigm to simplify data processing in
large data sets and its further development have led to the mainstream proliferation of big data analytics [7]. Along with the development of
machine learning technology, the development of big data analytics has provided a series of new tools that can be applied to manufacturing
analysis. These capabilities include the ability to analyze gigabytes of data in batch and streaming modes, the ability to find complex multivariate
nonlinear relationships among many variables, and machine learning algorithms that separate causation from correlation.
Millions of parts are produced on production lines, and data on thousands of process and quality measurements are collected for them, which is
important for improving quality and reducing costs. Design of experiments (DoE), which repeatedly explores thousands of causes through
controlled experiments, is often too time-consuming and costly. Manufacturing experts rely on their domain knowledge to detect key
factors that may affect quality and then run
DoEs based on these factors. Advances in big data analytics and machine learning enable the detection of critical factors that effectively
impact quality and yield. This, combined with domain knowledge, enables rapid detection of root causes of failures. However,
there are some unique data science challenges in manufacturing.
(1) Unequal costs of false alarms and false negatives. When calculating accuracy, it must be recognized that false alarms
and false negatives may have unequal costs. Suppose a false negative is a bad part/instance that was wrongly predicted to
be good. Additionally, assume that a false alarm is a good part that was incorrectly predicted as bad. Assuming further that
the parts produced are safety critical, incorrectly predicting that bad parts are good (false negatives) can put human lives
at risk. Therefore, false negatives can be much more costly than false alarms. This trade-off needs to be considered when
translating business goals into technical goals and candidate evaluation methods.
IS200WNPSH1ABA GE relay
IS200WETBH1ABA GE Component-dense board
IS200VTURH2BAC GE Primary turbine protection plate
IS200VTCCH1CBB GE Thermocouple input
IS200VRTDH1D GE I Board Components
IS200VCRCH1B GE Single groove plate
IS200VAICH1DAB GE Analog input
IS200TVIBH2BBB GE Vibration stop plate
IS200TVBAH2ACC GE Turbine control system
IS200TTURH1CFD GE The terminal board
IS200TSVCH1AJE GE Servo terminal board
IS200TRPAH2AHE GE End plate
IS200TREGH1BEC GE Board assembly
IS200TREAH2AED GE Turbine emergency trip model
IS200TPROS1CBB GE Turbine control system
IS200TPROH1BCB GE Redundant processor
IS200TDBTH6ACD GE Discrete simplex board
IS200TDBTH6ABC GE Simplex plate element
IS200TBCIS2CCD GE Isolation plate input
IS200TBCIH2CAA GE Single board component
IS200TBAIH1CCC GE Analog terminal board
IS200STCIH6AED GE Printed Circuit Board (PCB)
IS200STCIH2A GE Gas turbine management system
IS200SRTDH2ACB GE Printed circuit board
IS200SPIDG1ABA GE Master communication board
IS200SDIIH1ADB MRP683026 GE controller
IS200SAMBH1ABA GE TMR(Three-module redundancy) system
IS200JPDDG1AAA GE PCB module
IS200ISBBG2AAB GE Input synchronous bus bypass board
IS200HSL AH2ADE GE SLR LNK Interface
IS200ERIOH1AAA GE Excitation regulator
IS200EPSMG1AED GE Exciting power supply
IS200EGPAG1BCA GE Gate pulse amplifier board
IS200EGDMH1AFF GE Excitation field grounding detection module
IS200EGDMH1ADF GE Vibration exciter ground detection module
IS200DTAOH1ABA GE Printed circuit board
IS200DTAIH1ABB GE Ethernet communication
IS200DSPXH1DBD GE Energy system
IS200DSPXH1DBC GE Board assembly
IS200AEADH4ADA GE Steam turbine system
PFEA112-20-3BSE050091R20 ABB Tension amplifier
PFEA111-65-3BSE050090R65 ABB Tension amplifier
PFEA111-20-3BSE028140R0020 ABB Tension controller
PBSE5117 ABB Analog current monitor
PBSE1095 ABB Line reactor
HP-E1421B
IS200AEADH4ADA GE Orthogonal four-channel decoder
Hima-F7553 Processor module
Hima-F4301 High performance safety controller
HIMA-F3335 Industrial control module
Hima-F3322 Industrial controller
HIMA-B4231 Security module
Hima-99-2413602
HESG447351R0001—70BK06a-E ABB Serial Interfa
H7506 HIMA Relay module
H4135A-99-2413560 HIMA Safety relay
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