Phil Brubaker | SpeakerHub

Personal Details

Current position (1)

Applied Mathematician & Electrical Engineer

Optimal Designs Enterprise

Achievements (1)

President's Award @ Lockheed Missiles & Space Co.

Member of a team that reduced a large computer simulation program run time from 30 days to less than 10 hours.

Degrees (1)

Math & Electrical Engineering

Oregon State University

1962 to 1967

Bio

Horizontal Tabs

Modeling, Simulation, & Opt.

At Memorex Corp. designing a "Matched Filter" for a 14" disc drive. This electrical filter was to make a pulse more symmetric and slimmer. The more symmetrical and slimmer a pulse, would help minimize the "Pattern-Induced-BitShift" (PIB). Heavy math problem! (Main LaPlace transform equation took me 22 pages of hand written notes to derive the necessary equations. Oh, those little minus signs kept giving me trouble!)

Next job was at Lockheed Missiles & Space Co. Here I had different assignments. One assignment had me analyzing, what is called Digital Signal Processing (DSP), a plume from a space craft to try and label it as a "Friend or Foe". If its a Friend no problem, but a Foe may require action to be taken or it may shoot you down. This job required understanding the Fourier Transform. (FFT algorithm was being used. I switched to 10 other algorithms and partially solved the problem.) For more, see my SpectrumSolvers v. 6 app... goal-driven.net .

After lay-off from Lockheed Missiles & Space Co. in 1991,

1991-Present Optimal Designs Enterprise

President/Consultant

Main objective is to train engineers & scientists to solve their own math problems without real programming. Most modeling, simulation & optimization problems can be solved in a page or two with the aide of a calculus-level language/compiler.

Wrote a math textbook/casebook titled "Engineering Design Optimization using Calculus Level Methods: A Casebook Approach"; Created a website, goal-driven.net; and, developed four specialized software applications for the engineering community (visit my website for more):

• CurvFit™ application solves fitting data to an math expression; I recommend the Lorentzian series for real world data problems. Sine & Damped Sine series are also available.

• FC-Compiler™ application is a (free) Calculus-level Compiler that simplifies Tweaking parameters in ones math model. FC is based on Automatic Differentiation that simplifies computer code to an absolute minimum; i.e., a mathematical model, constraints, and the objective (function) definition.

• Match-n-Freq™ solves pole/zero locations for a matched filter that is known for pulse slimming or shaping characteristics. Program determines optimal transfer function, H(s).; and,

• SpectrumSolvers™ provides 13 spectral estimation algorithms for comparing Power Spectral Density (PSD) results. Algorithms include Akaike, Burg, Durbin, Maximum Likelihood Method, Mayne-Firoozan, Prony, Yule-Walker, and et al.

Bio #2

Presentations

Presentations (4)

Simulation vs. Optimization design?

If you were a manager or CEO and had the choice of a simulation design versus an optimization design, which would you pick?

Train Educators: Modeling & Simulation’s next step is (Mathematical) Optimizations. Optimizations require an Objective (function). Today's Engineers & Scientists solve problems with a “Find X” mind-set. With some Operational Research training they could expand their thinking to a “Find X to Optimize Y” mind-set. Then they would be ready for Optimizations, Calculus-level programming and software. (This would drop today’s design times that require months even man years to one or two days! Manufacturing processes could be optimized to the days demand and thus maximize their profits.)

“Find X to Optimize Y” thinking among professors will cause most Engineering & Science textbooks to be rewritten with optimization examples and discussions. This will be great stuff for industries and government; applied engineering and/or science not just theories.

Oil Refinery Production: What is the company's goal?

Many people thought that the Wright Brother's idea of an 'airplane' would never fly. But, what if it did? What if Oil sales income doubled or more? Would crude oil prices increase? (Everyone is going to want more for their piece of the pie, right?) How would this effect your company?

John D Rockefeller was quoted saying, "If you want to succeed you should strike out on new paths, rather than travel the worn paths of accepted success."

Any future John D Rockefeller's reading this proposal? Are you interested in increasing your company profits by several orders of magnitude? Does your company have a company goal or objective that all employees know about and follow? If so, continue reading on this proposal by reading my article "Company Goal: Increase Productivity?" (a dozen pages). Go to web page http://goal-driven.net/textbooks/index.html and click on the 'download' link, its free!

Micro Chip Manufacturing Errors, how to find?

In the ‘old’ days, when a circuit seemed to have a problem, one could look at each circuit to see if they could detect a bad circuit. Today, finding a bad chip is hard to due. Seeing a chip’s circuit may not be possible, how then can one determine a bad chip?

For example, in the 1970s, Memorex Corp. was designing their first “Thin Film Head” (TFH) and using micro chip components. It was soon realized that something was wrong with a small percent of its disc drives being made with these chips. But, how to detect or find the bad drives was not known. Destructive testing seemed like the only choice. Years went bye. No solution!

One team was working on a math model for an isolated readback pulse. A model seemed good, so the team took 200 TFHs and ran them all thru the process to see how the model handled them all and their variances. 199 TFHs showed well with the model. But, the 200th looked strange but the model said it was fine! Model fit the data well. Telling ...

FC-Compiler™, Calculus-level Compiler, intro

FC-Compiler™ is a (free) Calculus-level Compiler that simplifies Tweaking parameters in ones math model. The FortranCalculus (FC) language is for math modeling, simulation, and optimization. FC is based on Automatic Differentiation that simplifies computer code to an absolute minimum; i.e., a mathematical model, constraints, and the objective (function) definition. Minimizing the amount of code allows the user to concentrate on the science or engineering problem at hand and not on the (numerical) process requirements to achieve an optimum solution. Download at http://goal-driven.net/apps/fc-compiler.html

FC-Compiler™ has many (50+) example problems with output (see 'Demos' on main menu) for viewing and getting ideas on solving your own problems. These are improved productivity examples do to using Calculus (level) Problem-Solving. Please share this Calculus Problem-Solving tool with your friends. Thanks!

Industry problems with solutions over the past fifty plus years have been