Engineering analysis

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Engineering analysis involves the application of scientific/mathematical analytic principles and processes to reveal the properties and state of a system, device or mechanism under study.

Contents

Engineering analysis is decompositional: it proceeds by separating the engineering design into the mechanisms of operation or failure, analyzing or estimating each component of the operation or failure mechanism in isolation, and re-combining the components according to basic physical principles and natural laws. [1] [2] [3] [4]

Applied/engineering mathematical analysis

Engineering analysis and applied analysis are synonym terms for mathematical analysis/calculus beyond basic differential equations such as applied for various advanced physics & engineering topics (including Fourier analysis, Lagrangian & Hamiltonian mechanics, Laplace transforms, Sturm–Liouville theory, and others) but still can involve mathematical proofs.

Remote systems

Engineering analysis is the primary method for predicting and handling issues with remote systems such as satellites and rovers. Engineering analysis for remote systems must be ongoing since the health and safety of the remote system can only be affected remotely (and because any failure could have fatal consequences).

The capabilities of engineering analysis therefore must incorporate trending as well as analysis. Trending should be proactive, predictive, comprehensive and automated. Analysis must be reactive, investigative, targeted and hands-on. Together trending and analysis allow operators to both predict potential situations and identify anomalous events that threaten a remote system. [5]

See also

Related Research Articles

Harmonic analysis is a branch of mathematics concerned with the representation of functions or signals as the superposition of basic waves, and the study of and generalization of the notions of Fourier series and Fourier transforms. In the past two centuries, it has become a vast subject with applications in areas as diverse as number theory, representation theory, signal processing, quantum mechanics, tidal analysis and neuroscience.

Mechanical engineering Engineering discipline

Mechanical engineering is an engineering branch that combines engineering physics and mathematics principles with materials science, to design, analyze, manufacture, and maintain mechanical systems. It is one of the oldest and broadest of the engineering branches.

Engineer Professional practitioner of engineering and its subclasses

Engineers, as practitioners of engineering, are professionals who invent, design, analyze, build and test machines, complex systems, structures, gadgets and materials to fulfill functional objectives and requirements while considering the limitations imposed by practicality, regulation, safety and cost. The word engineer is derived from the Latin words ingeniare and ingenium ("cleverness"). The foundational qualifications of an engineer typically include a four-year bachelor's degree in an engineering discipline, or in some jurisdictions, a master's degree in an engineering discipline plus four to six years of peer-reviewed professional practice and passage of engineering board examinations.

Mathematical analysis Branch of mathematics

Analysis is the branch of mathematics dealing with continuous functions, limits, and related theories, such as differentiation, integration, measure, infinite sequences, series, and analytic functions.

Frequency domain Signal representation

In physics, electronics, control systems engineering, and statistics, the frequency domain refers to the analysis of mathematical functions or signals with respect to frequency, rather than time. Put simply, a time-domain graph shows how a signal changes over time, whereas a frequency-domain graph shows how much of the signal lies within each given frequency band over a range of frequencies. A frequency-domain representation can also include information on the phase shift that must be applied to each sinusoid in order to be able to recombine the frequency components to recover the original time signal.

Lists of mathematics topics

Lists of mathematics topics cover a variety of topics related to mathematics. Some of these lists link to hundreds of articles; some link only to a few. The template to the right includes links to alphabetical lists of all mathematical articles. This article brings together the same content organized in a manner better suited for browsing. Lists cover aspects of basic and advanced mathematics, methodology, mathematical statements, integrals, general concepts, mathematical objects, and reference tables. They also cover equations named after people, societies, mathematicians, journals, and meta-lists.

Stress–strain analysis is an engineering discipline that uses many methods to determine the stresses and strains in materials and structures subjected to forces. In continuum mechanics, stress is a physical quantity that expresses the internal forces that neighboring particles of a continuous material exert on each other, while strain is the measure of the deformation of the material.

Differential equation Type of functional equation (mathematics)

In mathematics, a differential equation is an equation that relates one or more unknown functions and their derivatives. In applications, the functions generally represent physical quantities, the derivatives represent their rates of change, and the differential equation defines a relationship between the two. Such relations are common; therefore, differential equations play a prominent role in many disciplines including engineering, physics, economics, and biology.

Numerical methods for partial differential equations is the branch of numerical analysis that studies the numerical solution of partial differential equations (PDEs).

Reliability engineering is a sub-discipline of systems engineering that emphasizes the ability of equipment to function without failure. Reliability describes the ability of a system or component to function under stated conditions for a specified period of time. Reliability is closely related to availability, which is typically described as the ability of a component or system to function at a specified moment or interval of time.

Mathematical methods are integral to the study of electronics.

Condition monitoring is the process of monitoring a parameter of condition in machinery, in order to identify a significant change which is indicative of a developing fault. It is a major component of predictive maintenance. The use of condition monitoring allows maintenance to be scheduled, or other actions to be taken to prevent consequential damages and avoid its consequences. Condition monitoring has a unique benefit in that conditions that would shorten normal lifespan can be addressed before they develop into a major failure. Condition monitoring techniques are normally used on rotating equipment, auxiliary systems and other machinery, while periodic inspection using non-destructive testing (NDT) techniques and fit for service (FFS) evaluation are used for static plant equipment such as steam boilers, piping and heat exchangers.

Education and training of electrical and electronics engineers

Both electrical and electronics engineers typically possess an academic degree with a major in electrical/ electronics engineering. The length of study for such a degree is usually three or four years and the completed degree may be designated as a Bachelor of Engineering, Bachelor of Science or Bachelor of Applied Science depending upon the university.

Hydrological model

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Industrial engineering Branch of engineering which deals with the optimization of complex processes or systems

Industrial Engineering is an engineering profession that is concerned with the optimization of complex processes, systems, or organizations by developing, improving and implementing integrated systems of people, money, knowledge, information and equipment. Industrial engineering is central to manufacturing operations.

Quantitative analysis is the use of mathematical and statistical methods in finance and investment management. Those working in the field are quantitative analysts (quants). Quants tend to specialize in specific areas which may include derivative structuring or pricing, risk management, algorithmic trading and investment management. The occupation is similar to those in industrial mathematics in other industries. The process usually consists of searching vast databases for patterns, such as correlations among liquid assets or price-movement patterns. The resulting strategies may involve high-frequency trading.

The following outline is provided as an overview of and topical guide to formal science:

Mathematical finance Application of mathematical and statistical methods in finance

Mathematical finance, also known as quantitative finance and financial mathematics, is a field of applied mathematics, concerned with mathematical modeling of financial markets.

Mathematics is a broad subject that is commonly divided in many areas that may be defined by their objects of study, by the used methods, or by both. For example, analytic number theory is a subarea of number theory devoted to the use of methods of analysis for the study of natural numbers.

References

  1. Baecher, G.B., Pate, E.M., and de Neufville, R. (1979) “Risk of dam failure in benefit/cost analysis”, Water Resources Research, 16(3), 449-456.
  2. Hartford, D.N.D. and Baecher, G.B. (2004) Risk and Uncertainty in Dam Safety. Thomas Telford
  3. International Commission on Large Dams (ICOLD) (2003) Risk Assessment in Dam Safety Management. ICOLD, Paris
  4. British Standards Institution (BSI) (1991)BC 5760 Part 5: Reliability of systems equipment and components - Guide to failure modes effects and criticality analysis (FMEA and FMECA).
  5. Stolarski, Tadeusz; Nakasone, Y.; Yoshimoto, S. (2011-02-24). Engineering Analysis with ANSYS Software. Elsevier. ISBN   978-0-08-046969-0.