Lean manufacturing

Failure mode and effects analysis

Failure mode and effects analysis (FMEA; often written with "failure modes" in plural) is the process of reviewing as many components, assemblies, and subsystems as possible to identify potential failure modes in a system and their causes and effects. For each component, the failure modes and their resulting effects on the rest of the system are recorded in a specific FMEA worksheet. There are numerous variations of such worksheets. An FMEA can be a qualitative analysis, but may be put on a quantitative basis when mathematical failure rate models are combined with a statistical failure mode ratio database. It was one of the first highly structured, systematic techniques for failure analysis. It was developed by reliability engineers in the late 1950s to study problems that might arise from malfunctions of military systems. An FMEA is often the first step of a system reliability study. A few different types of FMEA analyses exist, such as: * Functional * Design * Process Sometimes FMEA is extended to FMECA (failure mode, effects, and criticality analysis) to indicate that criticality analysis is performed too. FMEA is an inductive reasoning (forward logic) single point of failure analysis and is a core task in reliability engineering, safety engineering and quality engineering. A successful FMEA activity helps identify potential failure modes based on experience with similar products and processes—or based on common physics of failure logic. It is widely used in development and manufacturing industries in various phases of the product life cycle. Effects analysis refers to studying the consequences of those failures on different system levels. Functional analyses are needed as an input to determine correct failure modes, at all system levels, both for functional FMEA or piece-part (hardware) FMEA. An FMEA is used to structure mitigation for risk reduction based on either failure (mode) effect severity reduction or based on lowering the probability of failure or both. The FMEA is in principle a full inductive (forward logic) analysis, however the failure probability can only be estimated or reduced by understanding the failure mechanism. Hence, FMEA may include information on causes of failure (deductive analysis) to reduce the possibility of occurrence by eliminating identified (root) causes. (Wikipedia).

Video thumbnail

C28 Variation of parameters Part 1

We have already seen variation of parameters in action, but here we expand the method for use in second-order linear DE's, even with non-constant coefficients.

From playlist Differential Equations

Video thumbnail

Eigenvalues and Modes of Linear Systems

In this video we discuss how the eigenvalues of the A matrix lead to the modes of a linear state space system. We will also examine how to chose initial conditions to excite a specific mode. In other words, we use a carefully chosen initial condition to ensure that the state response of

From playlist Control Theory

Video thumbnail

The Step Response | Control Systems in Practice

Check out the other videos in this series: https://www.youtube.com/playlist?list=PLn8PRpmsu08pFBqgd_6Bi7msgkWFKL33b This video covers a few interesting things about the step response. We’ll look at what a step response is and some of the ways it can be used to specify design requirements f

From playlist Control Systems in Practice

Video thumbnail

Traveling wave, a failed simulation

It failed because of a bad choice of parameters. http://calculus123.com

From playlist Physics simulations

Video thumbnail

C33 Example problem using variation of parameters

Another example problem using the method of variation of parameters on second-order, linear, ordinary DE's.

From playlist Differential Equations

Video thumbnail

C29 Variation of parameters Part 2

I continue with an explanation of the method of variation of parameters.

From playlist Differential Equations

Video thumbnail

How to Determine if Functions are Linearly Independent or Dependent using the Definition

How to Determine if Functions are Linearly Independent or Dependent using the Definition If you enjoyed this video please consider liking, sharing, and subscribing. You can also help support my channel by becoming a member https://www.youtube.com/channel/UCr7lmzIk63PZnBw3bezl-Mg/join Th

From playlist Zill DE 4.1 Preliminary Theory - Linear Equations

Video thumbnail

Six Sigma Green Belt Training Video | Six Sigma Tutorial Videos Part 1

🔥Green Belt Certification Training Course: https://www.simplilearn.com/quality-management/lean-six-sigma-green-belt-training?utm_campaign=SixSigma-4oJhV0al6HQ&utm_medium=DescriptionFirstFold&utm_source=youtube 🔥Post Graduate Program In Lean Six Sigma: https://www.simplilearn.com/pgp-lean-s

From playlist Six Sigma Training Videos [2022 Updated]

Video thumbnail

B05 Local truncation errors

B05 Local truncation errors in numerical analysis

From playlist A Second Course in Differential Equations

Video thumbnail

SystemModeler Applied: Uses in Education

For the latest information, please visit: http://www.wolfram.com Speakers: Johan Rodin, Anneli Mossberg, and Leonardo Laguna-Ruiz This talk demonstrates how models interact with other software and hardware components, how models are exported from SystemModeler and used in other systems b

From playlist Wolfram Technology Conference 2014

Video thumbnail

🔥Six Sigma Full Course | Six Sigma Explained | Six Sigma Green Belt Training | 2022 | Simplilearn

🔥Green Belt Certification Training Course: https://www.simplilearn.com/quality-management/lean-six-sigma-green-belt-training?utm_campaign=SixSigmarepeat-byUOQeJ23O4&utm_medium=DescriptionFirstFold&utm_source=youtube 🔥Post Graduate Program In Lean Six Sigma: https://www.simplilearn.com/pgp-

From playlist Simplilearn Live

Video thumbnail

Six Sigma Full Course | Six Sigma Explained | Six Sigma Green Belt Training | Simplilearn

🔥Green Belt Certification Training Course: https://www.simplilearn.com/quality-management/lean-six-sigma-green-belt-training?utm_campaign=SixSigma-KfFez57ay6E&utm_medium=Descriptionff&utm_source=youtube 🔥Post Graduate Program In Lean Six Sigma: https://www.simplilearn.com/pgp-lean-six-sigm

From playlist Simplilearn Free Courses [2022 Updated]

Video thumbnail

C68 The physics of damped motion

See how the graphs of damped motion changes with changes in mass, the spring constant, and the initial value constants. The equations tell us which parameters influence the period, frequency and amplitude of oscillation.

From playlist Differential Equations

Video thumbnail

Six Sigma Tools | Six Sigma Green Belt Training | Simplilearn

Lean Six Sigma and its tools have created an impact in the operations of many companies. Lean and Six Sigma tools can be utilized to promote improvements in quality both as a systematic and strategic manner. Most of the taught Lean Six Sigma tools are quality techniques that are not really

From playlist Six Sigma Training Videos [2022 Updated]

Video thumbnail

予知保全シリーズ Part 5: 「故障データが無い」場合のアプローチ

故障時のデータ収集は大きな課題です。そこで有効になる教師無し学習のアプローチ、そして観測機器の物理モデルを使用するアプローチをそれぞれ、ターボファンエンジンのセンサーデータ、ポンプの物理モデルを使用して紹介します。 注:本ビデオは MATLAB®/Simulink® による予知保全・故障予測 ~一歩先のメンテナンス~」からの抜粋です。 - こちらも併せてご覧ください: MATLABを使った予知保全・故障予測: http://bit.ly/2E9Vavt - スライドをダウンロードする: https://bit.ly/2KWZVy0 ------------------

From playlist MATLAB/Simulink による予知保全ビデオシリーズ

Video thumbnail

Six Sigma Green Belt Training | Six Sigma Certification | Simplilearn

The Lean Six Sigma Green Belt Certification program is the second stage in the Lean Six Sigma Masters program. You’ll learn the core principles of Lean Six Sigma, how to implement quality projects and applications, and how to use the Minitab tool for effective statistical analysis. The cou

From playlist Six Sigma Training Videos [2022 Updated]

Video thumbnail

AIUK 2022 WORKSHOP - Fleet Modelling: Digital twins

Research in Action at AI UK 2022 was a series of interactive workshops designed to connect researchers with external stakeholders to solve real-world problems.

From playlist AIUK 2022 Workshops

Video thumbnail

Lec 16 | MIT 16.885J Aircraft Systems Engineering, Fall 2005

Guidance, Navigation and Control View the complete course: http://ocw.mit.edu/16-885F05 License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.edu

From playlist My Top Videos

Video thumbnail

MountainWest RubyConf 2013 Escalating complexity: DevOps learnings from Air France 447

Title: Escalating complexity: DevOps learnings from Air France 447 Presented by: Lindsay Holmwood On June 1, 2009 Air France 447 crashed into the Atlantic ocean killing all 228 passengers and crew. The 15 minutes leading up to the impact were a terrifying demonstration of the how thick th

From playlist Mountain West Ruby 2013

Video thumbnail

C32 Example problem using variation of parameters

Another example problem using the method of variation of parameters.

From playlist Differential Equations

Related pages

Top-down and bottom-up design | Reliability engineering | Level of measurement | Fuzzy logic | Inductive reasoning | Failure rate