SKU: 3973597495

VDO SingleViu 52mm (2-1/16") Oil Pressure Gauge - 80 PSI - 240-33 Ohm [A2C3833230030]

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Description

VDO SingleViu 52mm (2-1/16") Oil Pressure Gauge - 80 PSI - 240-33 Ohm [A2C3833230030]SingleViu 52mm (2 1 16") Oil Pressure Gauge 80 PSI 240 33 Ohm SingleViu instruments represent the latest technology in instruments, and offer a top of the line solution by being able to work directly with traditional analog senders or work directly off a J1939 CAN network. Each SingleViu gauge has it's own microprocessor, which allows it to have a dual input capability that can be switched from it's default analog input to J1939 CAN via the SingleViu

SingleViu 52mm (2-1/16") Oil Pressure Gauge - 80 PSI - 240-33 Ohm

SingleViu instruments represent the latest technology in instruments, and offer a top of the line solution by being able to work directly with traditional analog senders or work directly off a J1939 CAN network. Each SingleViu gauge has it's own microprocessor, which allows it to have a dual-input capability that can be switched from it's default analog input to J1939 CAN via the SingleViu Configuration software . Each speedometer or tachometer can also the display the J1939 system fault codes. 

These features, along with waterproof and fog proof construction, RGB LED illumination and advanced stepper motors make SingleViu the ideal solution when traditional gauges are needed or desired.

*240-33 Ohm Sender Required

Features: 

  • 240-33 Ω Default Input 
  • RGB LED Illumination (default illumination set to White) 
  • Water Resistant Front & Rear 
  • Includes Wire Harness
  • Voltage 12-24V
  • Molex MX 150 8 Pin Connector
  • Spin-Lok™ Mounting Hardware
  • Analog Input

∗Sold as an Individual 

WARNING: This product can expose you to chemicals including LEAD which is known to the State of California to cause cancer, birth defects or other reproductive harm. For more information go to P65Warnings.ca.gov.

Specifications:

  • Gauge Type: Oil Pressure
  • Gauge Size: 52mm
  • Box Set: No
  • Voltage - Input Range (Volts): 12-24V
  • Series: SingleViu
  • Box Dimensions: 4"H x 4"W x 6"L WT: 0.45 lbs
  • UPC: 4103590683182

Owner's Manual (pdf)
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SKU: 3973597495

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MrGee
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★★★★★ 5
An enjoyable, and seriously excellent, path to understanding Deep Learning...
Format: Paperback
Deep Learning is changing our world. If you want to understand more, this is a great place to start. Andrew Glassner is a talented explainer - I took his short course on Deep Learning and learned so much, but also came away impressed at how well he can make complex material so clear and engaging. And this book is jammed packed with insights, visuals, and clear explanations. The author has a playful, sometimes quirky style that shines through, which gives this tour a lot of personality as well as information. Very enjoyable reading - I felt like he captured all that was good about his course (and then some) and bottled it up in this book. There is a lot more material here than in that course, and it is well laid-out and organized so that it is easy to roam around and come back to review the pieces that matter to you. Even if you plan to go to on to be a world-class Deep Learning engineer or mathematician, you have to start by understanding the concepts. And this book does a great job of presenting all the core ideas in a way that makes them clear and memorable.
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Reviewed in the United States on August 5, 2021
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R. Cote
Birmingham, US
★★★★★ 5
Before GPT can chat, it has to learn.
Format: Paperback
One of the most comprehensive guides to AI and deep learning available. All concepts covered clearly and concisely with illustrations. Complex concepts are broken down into understandable terms. Even though ML and AI require some complex math, you won’t need it to get idea of what’s going on inside the computer’s “brain”. I use this as a reference when teaching AI concepts and preparing presentations. I highly recommend it
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Reviewed in the United States on April 5, 2025
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Rafael Azevedo Souza Costa
Boise, US
★★★★★ 5
Great examples and practical explanations
Format: Paperback
Excellent book. Highly recommend
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Reviewed in the United States on May 19, 2025
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Thomas
Houston, US
★★★★★ 5
Great for intuitive understanding
Format: Paperback
Amazing book. Great examples and diagrams. If you're looking to get an intuitive grasp of deep learning, look no further. If you're an engineer looking to apply it, I would recommend pairing this with one of the more technical canonical texts and a programming focused book.
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Reviewed in the United States on May 4, 2024
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La Monte HP Yarroll
Grantham, US
★★★★★ 5
Taught me backpropagation
Format: Paperback
I'm finding this book a great reference to supplement Syracuse IST 691 Deep Learning in Practice. In particular, its explanation of backpropagation is the clearest I have found yet, and that even includes 3 Blue 1 Brown, which always does excellent explanations.
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Reviewed in the United States on April 13, 2025

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