Keysight Labs | Data Analytics for Engineering Projects - EEs Talk Tech #23 @KeysightLabs | Uploaded February 2018 | Updated October 2024, 2 hours ago.
How to get good, accessible data
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youtube.com/playlist?list=PLzHyxysSubUnAMeCIi2-S0Vm7YtSAGqx_
1:10 - Who uses/needs data analytics?
2:00 - for a hobbyist in the garage, they probably still have lots of data. But for a one-person team it's much easier manage data.
Medium and large size teams have a LOT of data from prototypes, tests, etc.
3:25 - The best teams manage their data efficiently. They can make quick, informed decisions.
4:25 - A manager told Brad, "I would rather re-make the measurements because I don't trust the data that we have."
6:00 - Separate your properties from your measurements. Another way to say it: separate your data from your metadata.
Separating data from our production lines, prototype units, etc. helps us make good engineering decisions at Keysight.
9:30 - Data analytics helps for things like analyzing simulation data before tape out of a chip.
10:30 - It's common to have multiple IT people managing data for a specific project.
11:00 - Engineering companies need a data analytics tool that is data and domain agnostic.
11:45 - Many teams have an engineer or two that manage their team's data. Many times it's the team lead. They tend to get buried in data analytics instead of focusing on engineering and analysis work.
It's a bad investment to have engineers doing IT work.
14:00 - A lot of high speed serial standards have workshops and plugfests. They test their products to make sure they are interoperable with other systems.
15:30 - We wil get industry-wide data and let engineers see how their project stacks up against the industry as a whole.
16:45 - On the design side, it's important to see how the design team's simulation results stack up against the validation team's empirical results.
18:00 - Data analytics is also a big deal for manufacturing. About 10% of Keysight's R&D verification tests make it to manufacturing. Manufacturing lines also have a different set of data and metrics that they care about.
19:00 - Do people get hired/fired based on data? In one situation, there was a lack of data being shared that ended up costing the company over $1M and 6 months of time-to-market.
#electricalengineeringpodcast #engineeringpodcast #bigdata #dataanalytics #analytics #engineering #electricalengineering #electronics #electricalengineering
How to get good, accessible data
NEW Podcast channel ► bit.ly/KeysPodcastSubscribe
Click to subscribe! ► bit.ly/Scopes_Sub ◄
more at http://www.EEsTalkTech.com
Twitter: @DanielBogdanoff twitter.com/DanielBogdanoff
Check out the EEs Talk Tech podcast:
youtube.com/playlist?list=PLzHyxysSubUnAMeCIi2-S0Vm7YtSAGqx_
1:10 - Who uses/needs data analytics?
2:00 - for a hobbyist in the garage, they probably still have lots of data. But for a one-person team it's much easier manage data.
Medium and large size teams have a LOT of data from prototypes, tests, etc.
3:25 - The best teams manage their data efficiently. They can make quick, informed decisions.
4:25 - A manager told Brad, "I would rather re-make the measurements because I don't trust the data that we have."
6:00 - Separate your properties from your measurements. Another way to say it: separate your data from your metadata.
Separating data from our production lines, prototype units, etc. helps us make good engineering decisions at Keysight.
9:30 - Data analytics helps for things like analyzing simulation data before tape out of a chip.
10:30 - It's common to have multiple IT people managing data for a specific project.
11:00 - Engineering companies need a data analytics tool that is data and domain agnostic.
11:45 - Many teams have an engineer or two that manage their team's data. Many times it's the team lead. They tend to get buried in data analytics instead of focusing on engineering and analysis work.
It's a bad investment to have engineers doing IT work.
14:00 - A lot of high speed serial standards have workshops and plugfests. They test their products to make sure they are interoperable with other systems.
15:30 - We wil get industry-wide data and let engineers see how their project stacks up against the industry as a whole.
16:45 - On the design side, it's important to see how the design team's simulation results stack up against the validation team's empirical results.
18:00 - Data analytics is also a big deal for manufacturing. About 10% of Keysight's R&D verification tests make it to manufacturing. Manufacturing lines also have a different set of data and metrics that they care about.
19:00 - Do people get hired/fired based on data? In one situation, there was a lack of data being shared that ended up costing the company over $1M and 6 months of time-to-market.
#electricalengineeringpodcast #engineeringpodcast #bigdata #dataanalytics #analytics #engineering #electricalengineering #electronics #electricalengineering
![9 Bench Power Supply Tips You Need to Know [Tutorial]](https://i.ytimg.com/vi/cmduKuMLDsc/hqdefault.jpg "9 Bench Power Supply Tips You Need to Know [Tutorial]
Become a bench power supply master!
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The power supply tips in order:
00:00 Introduction and where have we been?
1:30 What is Power Supply Load Regulation
2:15 What is Power Supply Transient Response
3:00 What is Power Supply Line Regulation
4:04 What is Power Supply Programming Accuracy
4:34 What is Power Supply Readback Accuracy
5:47 What is Power Supply Resolution
6:18 What is Power Supply Output Noise
7:16 What are Power Supply Remote Sense Connections
8:30 Power Supply Interfaces and Remote Control
10:32 Power Supply Protection Capabilities
11:32 What are Power Supply Fault Triggers
See Keysights DC Power Supplies:
https://www.keysight.com/us/en/products/dc-power-supplies.html
Helpful Links:
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Bench power supplies can be basic, and they can be complex. This tutorial video covers essential, basic bench power supply tips that all electrical engineers should know. They are crucial for electronics work, lab work, electrical design work, and can blow up your devices if they arent used properly.
This video explores 9 tips and capabilities you should look for in your bench power supply.
Load regulation — the variability in the output V/I due to change in load. Some loads will not tolerate voltage variations greater than a few percent
Line regulation — the variability in the output V/I due to change in AC input
Programming accuracy — the quality of the programmed value being near to the actual V/I
Read back accuracy — the quality of the displayed value being near to the actual V/I
Resolution — the smallest value of V/I that can be programmed
Output noise — consists of common mode and normal mode
Transient response — time taken for the output voltage to return to the programmed state after a disruptive change in load current
Sense connections — local and/or remote sense capability
Interface — front panel and/or remote (LAN, GPIB, USB, RS232, etc.)
Low noise, excellent regulation, and remote sensing capability that reduces the voltage drop across load leads, are the desired characteristics in a power supply.
When dealing with power, safety comes first. Sometimes when devices fail, it may be catastrophic. It is important that a power supply not only protect itself, but also protect the DUT. Protection circuits in the power supply can limit the voltage or current to a preset level or shut down the power supply when an overvoltage or overcurrent condition occurs. Some power supplies also have a down programmer circuit to quickly discharge the DUT while some, upon receiving a fault trigger, are able to open a relay and isolate the DUT from the source of the power.
#powersupply #benchpowersupply #powersupplytutorial #bestbenchpowersupply #bestpowersupply #basicpowersupply #electronicspowersupply #powersupplytutorial #powersupplyfeatures #keysightpowersupply#electronics #electricalengineering #computerengineering #powersupplytest")
