Sim time

Haven’t had time to fly this week, but simulator time keeps your head in the game. You become what you think about…

 

Sending the cabin frame off to get powder coated

Probably a light gray.

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Landing an old beat up Piper Warrior at Hendersonville airport

Landing an old beat up Piper Warrior at Hendersonville airport. Which is an old beat up (very narrow) runway.

Detecting spins in small aircraft

Here are three spins. The first I intentionally recovered poorly. The other two were more “textbook” recoveries.

Spin Graph
This is just the graph of the slip/skid sensors.
Interesting that there is a clear pattern and threshold.
The goal here is to detect and give enough warning to a pilot to avoid and intervene on an impending unintentional spin entry.

Rules for pilots 

I can’t find what newspaper this came from to attribute it to… But it’s pretty funny… because these are all very very true

B-17 Cockpit view and Bombardier Position Videos

I brought my GoPro but left it in the car (DOH!) so you’ll have to endure cell phone video. I can’t describe what a rare privilege the whole experience was.

Checking things off of bucket lists

I am BONE tired. Spent the last 5 days (aka 2 months) helping hundreds of people check things off of their bucket lists.

There are stories to be written down, but for now how about a beer and lots of pictures?

It’s B-17 Time

Tomorrow the flying museum B-17 “Aluminum Overcast” flies into AVL. A couple of us will greet it and then start preparations to open it up for the community to enjoy it.

The weather is predicted to be fantastic. Really looking forward to this adventure!

Little blue lights

0816162041_HDR.jpg In the Navy I spent quite a bit of time on the night shift. I never get tired of blue taxi lights…

Detecting and predicting loss of control in flight

I’m currently working on detecting loss of control (LOC) on an overshoot of base to final. Using data models in X-Plane which depending on the aircraft model is known to be pretty accurate (there’s a certified commercial version suitable for flight training). Not practical to do this in an actual airplane for obvious reasons like crashing and fireballs.

Anyway, here’s a screenshot of data gathering. I’m collecting about 50 data points 10 times per second. I’m feeding this into a learning algorithm to teach it to predict the actions which may lead to an accelerated stall and/or spin. 

 

Next step is to move the pitot/AOA probe to the other wing and see what difference this makes.