Product Details
Description
The ABB IMASI03 is a high-precision Analog Input Slave module specifically engineered for the Bailey Infi 90 and Network 90 Distributed Control Systems (DCS). This module functions as a critical data acquisition interface, converting analog signals from field-level transmitters into digital values for the system's master controllers. Designed to handle up to 16 independent input channels, the IMASI03 provides the essential link for monitoring continuous process variables such as temperature, pressure, and flow. Its robust design ensures high accuracy and reliable performance in demanding industrial environments like power generation and petrochemical processing.
Specifications
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Brand: ABB Bailey
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Model Number: IMASI03
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Product Type: Analog Input Slave Module
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Series: Infi 90 / Network 90
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Channel Count: 16 Analog Inputs
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Resolution: 12-bit Analog-to-Digital conversion
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Input Signal Types: Supports 1-5 VDC, 0-5 VDC, 0-10 VDC, and 4-20 mA (with shunt resistors)
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Product Net Weight: 0.57 kg (1.26 lbs)
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Dimensions: 177.8 mm x 35.6 mm x 298.5 mm
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Power Requirements: +5 VDC at 450 mA (typical)
Features
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Multi-Channel Monitoring: Features 16 distinct analog points per module, allowing for high-density field signal integration within a single mounting slot.
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Advanced Noise Rejection: Equipped with sophisticated filtering circuitry to mitigate the effects of common-mode and transverse-mode electrical interference.
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Galvanic Protection: Provides electrical isolation between the sensitive system backplane and the field wiring, preventing field transients from affecting the DCS logic.
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System Integration: Communicates via the Infi 90 Slave Bus, allowing for seamless data handshaking with Multi-Function Processor (MFP) modules.
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Continuous Diagnostics: Performs automated self-tests on the internal A/D converter and reference circuitry to ensure long-term measurement stability and hardware health.
Additional Information
- 100% Genuine Parts: All products are original and authentic, ensuring reliable industrial performance.
- 30-Day Refund Guarantee: Return any in-stock item within 30 days in original, unopened packaging for a full refund (excluding shipping and fees).
- 12-Month Warranty: Covers defects in materials or workmanship; excludes misuse, normal wear, or unauthorized modifications.
- Worldwide Shipping: We ship via USPS, UPS, FedEx, and DHL. Delivery times vary by country and may be subject to customs or import fees.
- Support & Contact: Technical and warranty assistance is available anytime. Contact us here: Contact.
- Purchase Guidance: Check product specifications and compatibility carefully before ordering to ensure proper application.
Tech & Buying Guide
Implementing FIFO and LIFO Data Sequencing in PLC Programming
Data management serves as a cornerstone of modern industrial automation. Whether tracking materials on a conveyor or managing batch sequences in a process, engineers frequently rely on sequential logic. Two primary structures—First-In-First-Out (FIFO) and Last-In-First-Out (LIFO)—form the bedrock of this data handling. Mastering these blocks allows programmers to optimize complex machine operations efficiently.
Evolving SCADA System Architectures in Industrial Automation
A robust Supervisory Control and Data Acquisition (SCADA) system serves as the heartbeat of modern industrial operations. Understanding SCADA system architecture is vital for engineers designing efficient control systems. These architectures have evolved from isolated, monolithic structures to highly interconnected, networked ecosystems. Choosing the right design requires balancing data visibility, processing power, and long-term scalability requirements.
Choosing the Right Controller: PLC vs. Motion Controller in Industrial Automation
Selecting the optimal control architecture is a foundational decision in industrial automation. Engineers must frequently choose between a Programmable Logic Controller (PLC) and a dedicated Motion Controller. While both systems manage machinery, their underlying design philosophies differ significantly, impacting performance, scalability, and system integration.