Environmental Stress Screening: Its Quantification, Optimization, and Management

8.2: FUNDAMENTAL THEORY OF A RANDOM PROCESS

8.2 FUNDAMENTAL THEORY OF A RANDOM PROCESS

8.2.1 DEFINITION OF A RANDOM PROCESS

The random response of dynamic systems is usually given in the form of a time history record. Each record is called a realization or a sample function. The collection of all possible records (sample functions) is called the ensemble or the random process [1; 2]. Figure 8.1 portrays a typical example of the realizations of a random process, X( t), where t is the parameter, say, time. The superscript j = 1,2, in x j( t) represents the jth realization of the random process X( t). At fixed times t = t 1 and t 2, X( t 1) and X( t 2) are random variables, and X j( t 1) and X j( t 2) are their jth realizations.


Figure 8.1: Ensemble of a random process.

A random process, X( ?, t), which in the literature is also called a random function, a stochastic process, or a time series if the index parameter t is time, is defined as a parametered family of random variables with two parameters (arguments) ? ? ? denoting that ? belongs to the parent set ?, and t ? T denoting that t belongs to the parent set T, where ?

UNLIMITED FREE
ACCESS
TO THE WORLD'S BEST IDEAS

SUBMIT
Already a GlobalSpec user? Log in.

This is embarrasing...

An error occurred while processing the form. Please try again in a few minutes.

Customize Your GlobalSpec Experience

Category: Temperature Signal Conditioners
Finish!
Privacy Policy

This is embarrasing...

An error occurred while processing the form. Please try again in a few minutes.