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A high single-phase current in a power cable (a phase-to-earth fault, for example) induces a disturbing voltage on telecommunication lines located nearby. Owing to their symmetry, three-phase short-circuits induce a zero sum of voltage, except when the layout of the remote control circuits is dissymmetrical in relation to the different phases; the induced voltage in this case is only rarely a problem.

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The proposed approach consists of combining aggregation and decomposition (central branch of Figure 118) There are three points to study: 1) build a modi ed SWN, that is to say extended (denoted by Nk ), of the subsystems, allowing us to memorize the synchronization; 2) derive an expression for the generator Q of the underlying CTMC of the composition of the SRG (denoted by SRGk ) of the (S k ), analogous to the ones obtained for GSPN; 3) prove that this expression is a super-matrix of an aggregation of Q In this context, we have de ned kinds of synchronous and asynchronous compositions for which we give explicit building methods for the extended subnets (point 1) We also get an expression for the generator Q with adapted matrices Ak (t) and Ck (t) for each case (point 2), and we prove the consistency of these expressions (point 3).

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1145 Application in the asynchronous case For simplicity, we describe only the asynchronous case We rst present the extension method of subnets: we clarify the structure of the synchronization, and then we point out how to build extended SWN which will be studied in isolation Next, we de ne syntactic conditions, that is at the structural level of the net (color domains of places and transitions, arc functions, ows, etc), satis ed by many nets decomposable into subnets with some autonomy , for which the tensor composition of aggregates may apply Finally, we give an overview of the computation algorithms and associated consistency proofs We refer the reader to [HAD 96a, HAD 97, MOR 96] for detailed expositions of results presented below.

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Here, we rst have to build an extension of a subnet allowing us both to study it in isolation taking its environment into account, and to de ne an (asynchronous) decomposition of subnets This is done by de nition of an abstract view of each subnet: each color class modeling entities moving from one subnet to another is called a global class and the abstract view of a subnet Nk is made up of one place for each global class of Nk , and of the set of transitions T Sk modi ed accordingly Let us emphasize that this abstract view is formally de ned, in contrast with other work on this subject, and so it may be automatically computed, thanks to symbolic partial ows (see 7) The extension of a given Nk is then Nk enlarged with the abstract views of all other subnets Figure 11.

9 is an example of asynchronous composition of stochastic well-formed Petri nets N is made up of three parts and models a client (local work) server (remote work) with a repair device (server repair) Clients are initially in the local.

Figure 5-1: force per unit of length generated by two parallel conductors through which an identical current I flows

spent all this time preparing so you can identify your root cause projects; make sure they are data driven And if you have an issue with someone who wants to jump the gun, just keep saying Show me the data! The Six Sigma methodology and tools are probably the best ones to use for any improvement project, but you may also nd Lean and 5S valuable, especially for supply chain and manufacturing projects Lean is an initiative to remove all waste from your manufacturing processes2 5S is a Japanese concept of housekeeping, which, when applied to business, suggests that companies follow the ve S steps: sort, straighten, shine, standardize, and sustain Because you can learn about the Six Sigma process at any decent business improvement website, I ve omitted it from this discussion We ve made it through the rst half of the BPI effort.

13.6 INTERMODULATION PRODUCT An IM product arises when two or more signals pass through a nonlinear device. In the case of a multibeam array, multiple signals with different carrier frequencies pass through SSPAs that have nonlinear characteristics. As a result, the output consists of many other frequency components in addition to the input carrier frequencies. To illustrate we present a simple analysis of two CW (carrier wave) signals. Figure 13.9 shows a simplified model of a unit cell of an active array with two CW signals. The signals have amplitudes P and Q with angular frequencies 1 and 2 and phases 1 and 2 , respectively. The phase is responsible for the beam location. We assume

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