Product Details
Overview
The Honeywell 51195153-002 is a high-performance RG6 coaxial drop cable assembly engineered for Honeywell control and data acquisition systems. It provides reliable signal transmission and stable connectivity between industrial components, particularly in Universal Control Network (UCN) setups. This cable set is built for harsh industrial environments while maintaining consistent performance.
Technical Specifications
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Model Number: 51195153-002
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Manufacturer: Honeywell
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Product Type: RG6 Coaxial Cable Set
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Length: 2 meters (6.6 feet)
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Cable Type: RG6 coaxial with Teflon insulation and copper conductors
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Weight: 0.14 kg
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Operating Temperature: –40°C to +85°C
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Condition: Brand new and in stock
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Origin: USA
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Warranty: 12 months
Key Features
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Reliable Signal Transmission: Maintains consistent performance in high-noise industrial environments
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Durable Construction: Teflon insulation and high-quality copper core ensure long-term reliability
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Plug-and-Play Connectors: Factory-terminated ends for fast and accurate installation
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Versatile Use: Ideal for control panels, sensor connections, and data acquisition networks
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Environmental Resilience: Supports wide operating temperature range for demanding industrial conditions
Applications
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Connectivity in Honeywell Universal Control Network (UCN) systems
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Sensor and control panel signal routing
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Industrial data acquisition and automation networks
FAQ
Q: Is the 51195153-002 cable new?
A: Yes, it is brand new and comes in original packaging.
Q: What is the total cable length?
A: The cable is 2 meters (6.6 feet) long.
Q: What environments can this cable operate in?
A: It functions reliably from –40°C to +85°C, suitable for harsh industrial conditions.
Q: Is it compatible with Honeywell UCN systems?
A: Yes, it is specifically designed for Honeywell control and data acquisition systems.
Q: What type of connectors does it have?
A: Factory-terminated RG6 connectors for plug-and-play installation.
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.