The network presented below in Figure 34.1-a) containing 3 impedances Z A, ZB and ZC is said to be π-connected.such network can be redrawn as drawn in Figure 34.1(b),where the arrangement is said to be as delta-connectedor mesh-connected.
The network drawn in Fig 34.2-a, containing of 3 impedances, Z1, Z2 and Z3, is referred to beT-connected. This network can be redrawn as drawn in Figure 34.2(b), where the arrangement is referred to as star-connected.
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)
The network drawn in Fig 34.2-a, containing of 3 impedances, Z1, Z2 and Z3, is referred to beT-connected. This network can be redrawn as drawn in Figure 34.2(b), where the arrangement is referred to as star-connected.
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