51196694-904 51196694904 HONEYWELL Industrial keyboard panel

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Product Details

SPECIFICATIONS

Pressure ranges 2000, 3000, 5000, 7500, 10000 psid

Accuracy ±0.5 % full scale

Linearity ±0.25 % full scale (typical)

Hysteresis ±0.13 % full scale (typical)

Non-repeatability ±0.07 % full scale (typical)

Output (standard) 2 mV/V (nominal)

Line pressure 2000 psi

Resolution Infinite

Temperature, operating -54 °C to 121 °C [-65 °F to 250 °F]

Temperature, compensated 15 °C to 71 °C [60 °F to 160 °F]

Temperature, effect, zero ±0.75 % full scale/100 °F

Temperature, effect, span ±1.0 % reading/100 °F

Strain gage type Bonded foil

Excitation (calibration) 10 Vdc

Bridge resistance 350 ohm (nominal)

Shunt calibration data Included

Elec. termination (std) PTIH-10-6P or equivalent (hermetic stainless)

Mating connector (not incl.) PT06A-10-6S or equiv. (AA111)

Media Gas, liquid

Overload-safe 2000 psid to 3000 psid 100% over capacity

Overload-safe 5000 psid to 10000 psid 50% over capacity

Pressure port 1/4-18 NPT female (2)

Wetted parts material 17-4 PH stainless steel

Case material Stainless steel

HONEYWELL News

How Artificial Intelligence Keeps This Oil Company Running

Three million barrels of oil a day are produced by the Abu Dhabi National Oil Company (ADNOC.)

That’s equivalent to 126 million U.S. gallons.

To refine that crude oil into petroleum, operations must be as efficient as possible. Refineries need to avoid the biggest culprit that can cause everything to go down: Unexpected maintenance.

For example, if a critical compressor breaks – and the refinery must pause production while it is repaired – that hurts the bottom line.

“It costs millions of dollars if ADNOC loses even one day of production,” said Honeywell principal application engineer Meenakshi Krishnaswamy.

Here’s how we’re working with ADNOC to deploy and maintain artificial intelligence (AI) models to drive greater efficiencies across ADNOC's Upstream and Downstream operations.

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