Home > Catalogue > Magnetic Components > Specialty Transformers

Specialty Transformers

Results:
Specialty Transformers Results:
Filter Results: -1/2730
Comprehensive
Price Priority
Stock Priority
Image
Part Number
Manufacturer
Description
Availability
Unit Price
Quantity
Operation
G7201D
CND-tek
Network transformer Isolation transformer ,encapsulation:DIP72,34.5x19mm
Quantity: 1400
Ship Date: 5-10 working days
24+
140+ $0.6728
700+ $0.6616
1400+ $0.6448
- +
x $0.6728
Ext. Price: $94.19
MOQ: 140
Mult: 140
SPQ: 140
92450-P2S2
talema
115V(AC),230V(AC) 2*55(AC) 1000VA 70mm(height)
Quantity: 10
Ship Date: 7-13 working days
1+ $264.1054
25+ $238.9301
- +
x $264.1054
Ext. Price: $264.10
MOQ: 1
Mult: 1
1243870
RS
2*115(AC) 2*15 15VA Through hole mounting 60mm*60mm*26.3mm
Quantity: 23
Ship Date: 7-13 working days
1+ $40.3948
10+ $29.9675
50+ $23.1222
- +
x $40.3948
Ext. Price: $40.39
MOQ: 1
Mult: 1
LT51-117
LINEKEY
Quantity: 3500
Ship Date: 4-6 weeks
350+ $0.3952
700+ $0.3886
1050+ $0.3788
- +
x $0.3952
Ext. Price: $138.32
MOQ: 350
Mult: 350
SPQ: 350
0 442 13
legrand
215 V ac,230 V ac,245V AC 24V(AC) 100VA DINRail installation 94mm*94mm*113mm
Quantity: 9
Ship Date: 5-10 working days
1+ $179.0575
10+ $174.5852
- +
x $179.0575
Ext. Price: $179.05
MOQ: 1
Mult: 1
8902774
RS
240V 0V~240V,0V~270V 480VA SMD mount 110mm*110mm*95mm
Quantity: 63
Ship Date: 7-13 working days
1+ $275.85
5+ $212.8364
- +
x $275.85
Ext. Price: $275.85
MOQ: 1
Mult: 1
98472062
Sollatek
Sollatek Stabilizer, Input145-290V AC, output196-258V, output_power1380VA
Quantity: 5
Ship Date: 7-13 working days
1+ $201.0264
- +
x $201.0264
Ext. Price: $201.02
MOQ: 1
Mult: 1
TG2497S
CND-tek
TRANSFORMER Isolation transformer ,encapsulation:SMD-24P,17.6x12.3mm
Quantity: 4000
Ship Date: 5-10 working days
24+
400+ $0.5681
2000+ $0.5587
4000+ $0.5445
- +
x $0.5681
Ext. Price: $227.24
MOQ: 400
Mult: 400
SPQ: 400
QG4856D
CND-tek
Isolation transformer ,encapsulation:DIP-48P,28.1x11.1mm
Quantity: 180
Ship Date: 5-10 working days
24+
18+ $0.2841
90+ $0.2794
180+ $0.2722
- +
x $0.2841
Ext. Price: $5.11
MOQ: 18
Mult: 18
SPQ: 18
74942300
WURTH
Wurth Elektronik Telecom transformer, 1:1turns_ratio, surface mount installation, 450μHPrimary coil inductance
Quantity: 388
Ship Date: 3-12 working days
1+ $4.0496
10+ $3.6285
50+ $3.5637
100+ $3.5637
200+ $3.4989
450+ $3.4989
2250+ $3.4989
4500+ $3.4989
- +
x $4.0496
Ext. Price: $28.34
MOQ: 7
Mult: 1
VCM 25/1/18
BLOCK Transformatoren-Elektronik
230V(AC) 18V(AC) 25VA Through hole mounting 81.2mm*55mm*49.2mm
Quantity: 3
Ship Date: 5-10 working days
1+ $33.0922
10+ $31.7685
25+ $30.4448
50+ $29.7894
- +
x $33.0922
Ext. Price: $33.09
MOQ: 1
Mult: 1
TG110-S050N1RL
HALO Electronics
350μH 1CT:1CT SOIC 10/100 Isolation Modules Transformer SMD-16 SMD mount 12.7mm(length)*5.08mm(height)
Quantity: 208
Ship Date: 6-13 working days
1+ $9.4875
25+ $5.7456
40+ $4.6872
120+ $3.6855
280+ $3.0975
520+ $2.667
1000+ $2.5515
2000+ $2.478
- +
x $9.4875
Ext. Price: $9.48
MOQ: 1
Mult: 1
SPQ: 1
ES 30
BLOCK Transformatoren-Elektronik
Block , Input220V AC
Quantity: 7
Ship Date: 5-10 working days
1+ $101.5512
- +
x $101.5512
Ext. Price: $101.55
MOQ: 1
Mult: 1
1730152
RS
115V(AC),230V(AC) 2*30(AC) 160VA 46mm(height)
Quantity: 34
Ship Date: 7-13 working days
8+ $49.5736
16+ $48.3343
32+ $47.5906
- +
x $49.5736
Ext. Price: $396.58
MOQ: 8
Mult: 8
VCM 25/1/9
BLOCK Transformatoren-Elektronik
230V(AC) 9V(AC) 25VA Through hole mounting 81.2mm*55mm*49.2mm
Quantity: 1
Ship Date: 5-10 working days
1+ $50.827
10+ $49.6061
25+ $47.2158
50+ $45.7379
- +
x $50.827
Ext. Price: $50.82
MOQ: 1
Mult: 1
TBD2 024 24 P4
COMATEC
230V(AC) 24V(AC) 24VA DINRail installation
Quantity: 63
Ship Date: 7-13 working days
1+ $55.5727
5+ $38.4113
- +
x $55.5727
Ext. Price: $55.57
MOQ: 1
Mult: 1
78615/9JC
Murata Power Solutions
10mH 1CT:1CT SMD mount 12.7mm(length)*6.35mm(height)
Quantity: 38
Ship Date: 7-13 working days
1+ $2.3985
5+ $2.3487
10+ $2.303
20+ $2.2573
- +
x $2.3985
Ext. Price: $31.18
MOQ: 13
Mult: 1
T60403-D4615-X047
VACUUMSCHMELZE
950μH 1 1 1 Through hole mounting 16.6mm(length)*13.5mm(height)
Quantity: 759
Ship Date: 6-13 working days
1+ $14.7545
10+ $11.3832
25+ $10.9188
50+ $10.29
100+ $9.9645
196+ $9.5445
588+ $9.24
- +
x $14.7545
Ext. Price: $14.75
MOQ: 1
Mult: 1
SPQ: 1
VCM 36/1/18
BLOCK Transformatoren-Elektronik
230V(AC) 18V(AC) 36VA Through hole mounting 87.2mm*60mm*48.5mm
Quantity: 34
Ship Date: 5-10 working days
1+ $37.3331
10+ $36.3821
25+ $34.6857
50+ $33.6062
- +
x $37.3331
Ext. Price: $37.33
MOQ: 1
Mult: 1
H1682CG
MENTECH
Quantity: 10800
Ship Date: 4-7 working days
600+ $0.106
1800+ $0.1042
3000+ $0.1014
27600+ $0.0968
- +
x $0.106
Ext. Price: $63.60
MOQ: 600
Mult: 1
SPQ: 600
QG2432S
CND-tek
TRANSFORMER Isolation transformer2.5G,encapsulation:SMD-24P,13.5x12.2mm
Quantity: 5000
Ship Date: 5-10 working days
24+
500+ $0.2841
2500+ $0.2794
5000+ $0.2722
- +
x $0.2841
Ext. Price: $142.05
MOQ: 500
Mult: 500
SPQ: 500
R35A03F
Oxford Electrical Products
OEP Audio Transformers, primary impedance 5kΩ, min_operating_frequency 50Hz
Quantity: 1
Ship Date: 5-10 working days
1+ $76.7609
10+ $74.075
- +
x $76.7609
Ext. Price: $76.76
MOQ: 1
Mult: 1
BD2425J50100AHF
Anaren
2.4GHz~2.5GHz 1:1.41 Balun Transformer 0805 SMD mount
Quantity: 2196
Ship Date: 3-7 working days
100+ $0.3588
110+ $0.3469
120+ $0.335
- +
x $0.3588
Ext. Price: $35.88
MOQ: 100
Mult: 10
SPQ: 4000
168J
Hammond Manufacturing
115V Auto Transformer 85V,95V,105V,110V,115V,125V 2000VA base mount 168.402mm(length)*111.252mm(height)
Quantity: 1
Ship Date: 7-12 working days
1+ $290.524
10+ $260.7571
25+ $256.2169
- +
x $290.524
Ext. Price: $290.52
MOQ: 1
Mult: 1
SPQ: 1
1730116
RS
2*115(AC) 2*15 5VA Through hole mounting 49.7mm*49.7mm*19.5mm
Quantity: 7
Ship Date: 7-13 working days
400+ $13.5615
800+ $13.2224
1600+ $13.0189
- +
x $13.5615
Ext. Price: $5424.60
MOQ: 400
Mult: 400

Specialty Transformers

Other Transformers refers to a class of neural network architectures that extend the capabilities of the original Transformer model, which was introduced in the paper "Attention Is All You Need" by Vaswani et al. in 2017. The original Transformer model revolutionized the field of natural language processing (NLP) with its use of self-attention mechanisms to process sequences of data, such as text or time series.

Definition:
Other Transformers are variations or extensions of the basic Transformer architecture, designed to address specific challenges or to improve performance in various tasks. They often incorporate additional layers, attention mechanisms, or training techniques to enhance the model's capabilities.

Functions:
1. Enhanced Attention Mechanisms: Some Transformers introduce new types of attention, such as multi-head attention, which allows the model to focus on different parts of the input sequence simultaneously.
2. Positional Encoding: To preserve the order of sequence data, positional encodings are added to the input embeddings.
3. Layer Normalization: This technique is used to stabilize the training of deep networks by normalizing the inputs to each layer.
4. Feedforward Networks: Each Transformer layer includes a feedforward neural network that processes the attention outputs.
5. Residual Connections: These connections help in training deeper networks by adding the output of a layer to its input before passing it to the next layer.

Applications:
- Natural Language Understanding (NLU): For tasks like sentiment analysis, question answering, and text classification.
- Machine Translation: To translate text from one language to another.
- Speech Recognition: Transcribing spoken language into written text.
- Time Series Analysis: For forecasting and pattern recognition in sequential data.
- Image Recognition: Some Transformers have been adapted for computer vision tasks.

Selection Criteria:
When choosing an Other Transformer model, consider the following:
1. Task Specificity: The model should be suitable for the specific task at hand, whether it's translation, summarization, or classification.
2. Data Size and Quality: Larger and more diverse datasets may require more complex models.
3. Computational Resources: More sophisticated models require more computational power and memory.
4. Training Time: Complex models may take longer to train.
5. Performance Metrics: Consider the model's performance on benchmarks relevant to your task.
6. Scalability: The model should be able to scale with the size of the data and the complexity of the task.

In summary, Other Transformers are a diverse family of models that build upon the foundational concepts of the original Transformer to address a wide range of challenges in machine learning and artificial intelligence. The choice of a specific model depends on the requirements of the task, the available data, and the computational resources.
Please refer to the product rule book for details.