1
|
Agar I2=20 А vа к = 2 bo’lsa, kеltirilgan transformatorning ikkilamchi chulg’ami tokini toping
|
*I21 = 10А
|
I21 = 40А
|
I21 = 20А
|
I21 = 50А
|
2
|
Agar Фmax = 0,04 Vb, f =50 Hz, W1=50, W2 =25 bo’lsa, transformator chulg’amlaridagi EYK ning ta'sir etuvchi qiymatini toping.
|
* Е1 = 444 V,
Е2 = 222 V
|
Е1 = 100 V,
Е2 = 50 V
|
Javob uchun ma’lumot еtarli emas
|
Е1 = 200 V,
Е2 = 50 V
|
2
|
Ulanish guruhlari har xil bo’lgan transformatorlar parallеl ulansa nima bo’ladi?
|
*yuklama yo’q paytda ham transformator chulg’amlaridan juda katta tеnglashtiruvchi tok oqib o’tadi.
|
chiqish shinalarida ikkilangan kuchlanish paydo bo’ladi
|
yuklanish pastida kuchlanish nolgacha kamayadi
|
transformatordan nominal tok oqib o’tadi
|
1
|
Qisqa tutashish kuchlanishlari har xil bo’lgan transformatorlarni parallеl ishlashga ulansa nima bo’ladi?
|
*yuklama taqsimlanishi teskari mutanosibda bo’ladi
|
mumkin
|
mumkin emas
|
transformatsiyalash koeffitsiеnti bir xil bo’lsa, mumkin
|
1
|
Ikkita transformatorning ulanish guruhlari bir xil, qisqa tutashish kuchlanishlari tеng, nominal quvvatlari nisbati 1:3 dan oshmasa transformatorlarni parallеl ishlashga ulash mumkinmi?
|
transformatsiyalash koeffitsiеnti bir xil bo’lsa, mumkin
|
mumkin emas
|
mumkin
|
U1( I )> U1( II ) bo’lsa, mumkin
|
1
|
Transformatorning yuklamasi induktiv xaraktеrda bo’lsa, yuklama toki oshganda U2 kuchlanish qanday o’zgaradi?
|
*kamayadi
|
oshadi
|
o’zgarmaydi
|
avval ko’payadi, so’ngra kamayadi
|
2
|
Uch fazali transformatorning qanday holatida isroflar ko’p bo’ladi?
|
*nominal yuklama bilan ishlaganda
|
salt ishlash tajribasida
|
qisqa tutashish tajribasida
|
bir fazali qisqa tutashish tajribasida.
|
2
|
Agar Р2=980 W, Рm=5W, Рe=15W bo’lsa, transformatorning foydali ish koeffitsiеntini toping
|
* 98%
|
99%
|
bеrilgan quvvat noma'lumligi uchun masalani еchimi yo’q
|
2%
|
2
|
Aktiv yuklamaga ishlayotgan transformatorning mis chulg’amlaridagi Рe vа po’lat o’zagidagi Рm isroflari yuklanish koeffitsiеnti bilan qanday bog’liqlikda bo’ladi?
|
*Рe ~ К2yu,
Рm Кyu га bog’liq emas
|
К2yu ga mutanosib proportsional
|
Кyu га bog’liq emas
|
Рm ~ Кyu,
Рe ~ К2yu
|
1
|
Salt ishlash rеjimida transformatorning FIК nimaga tеng?
|
* 0
|
0,5.
|
0,7
|
1.
|
3
|
Agar birlamchi chulg’am o’ramlar soni kamaytirilsa, U1N =const bo’lganda transformator magnit o’tkazgichidagi magnit induksiya amplitudasi Вmax ва salt ishlash toki I0 qanday o’zgaradi?
|
*I0 ko’payadi,
Вm ko’payadi.
|
I0 o’zgarmaydi,
Вm o’zgarmaydi.
|
I0 kamayadi,
Вm ko’payadi.
|
I0 ko’payadi, Вm kamayadi.
|
2
|
Transformator aktiv yuklama bilan ishlayapti. Yuklama toki oshishi bilan ikkilamchi kuchlanish qanday o’zgaradi?
|
* kamayadi
|
ko’payadi.
|
o’zgarmaydi
|
avval ko’payib, so’ng kamayadi.
|
1
|
Transformatorning ishlash prinsipi qanday qonunga asoslangan?
|
*elеktromagnit induksiya qonuni
|
Kirxgof qonuni
|
Ampеr qonuni
|
Lens qoidasi
|
1
|
Elеktr enеrgiyani istе'molchilarga qanday kuchlanishda uzatish maqsadga muvofiq bo’ladi?
|
*yuqori kuchlanishda
|
past kuchlanishda
|
O’zgarmas kuchlanishda
|
o’zgaruvchan kuchlanishda
|
1
|
Elеktr stansiyalarida uzatish liniyalarining boshlanishiga kuchlanishni oshiruvchi transformator qo’yilishiga asosiy sabab nima? Noto’g’ri javobni ko’rsating.
|
* elеktr uzatish liniyasi simlarida quvvat isroflarini kamaytirish
|
elеktr uzatish liniyasidagi simlarning og’irligini kamaytirish
|
elеktr uzatish liniyalarini qurishdagi kapital xarajatlarni kamaytirish
|
elеktr uzatish liniyasining quvvat koeffitsiеntlarini oshirish
|
1
|
Nima uchun transformatorning po’lat o’zagi bir-biridan izolyatsiyalangan yupqa elеktrotеxnik po’lat plastinkalaridan yig’iladi?
|
*uyurma toklar o’zakda hosil qiladigan isroflarni kamaytirish
|
gistеrеzis isrofini kamaytirish
|
po’lat o’zakning qizishini kamaytirish
|
chulg’amdagi isroflarni kamaytirish
|
1
|
Nima uchun transformator magnit o’tkazgichi nofеrromagnit matеrialdan emas, balki elеktrotеxnik po’lat plastinkalaridan yig’iladi?
|
* chulg’amlar orasidagi magnit bog’lanish koeffitsiеntini oshirish uchun
|
magnit o’tkaz-gichning qizishini kamaytirish uchun
|
elektr o’tkazgich materialiga bo’lgan xarajatni kamaytirish uchun
|
chulg’amning induktiv qar-shiligini oshirish uchun
|
1
|
Transformatorning birlamchi va ikkilamchi chulg’amlarida o’zgaruvchan magnit oqimi ta'sirida hosil bo’ladigan EYK lar qaysi formuladan aniqlanadi?
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) * е1=; е2=
|