SKU: 80332518427

2013 for Arctic Cat TRV 550 Limited International Stator Regulator Rectifier & Gasket 0830-128

$60.09 $66.77
Save 10%
No.2 Bestseller on lamcf.fr >

Pay in installments of $16.69 with ShopPay, AfterPay and Klarna

Shipping Estimate
USA
  • USA
  • CAN

Ships within 48 hours · Estimated delivery Aug 20 - Aug 25

Promo Codes Available:

For Your Every Summer RSVP, with Code: SUMMER15

Description

2013 for Arctic Cat TRV 550 Limited International Stator Regulator Rectifier & Gasket 0830-128Generator Stator Regulator Rectifier Gasket Set For Arctic Cat ATV 700 H1 Powler XT GT TRV MudPro 08 12 Features: Kit include Stator, Regulator Rectifier and gasket. Meet or exceeds the OEM quality, direct replacement to your original unit. Perfect fit and ready to install. Always use a sealant to mount the cable gland joint. Instruction is NOT included. Attention: One of the most common reasons a stator breaks down is due to a broken regulator, which

Generator Stator Regulator Rectifier Gasket Set For Arctic Cat ATV 700 H1 Powler XT GT TRV MudPro 08-12

Features:
Kit include Stator, Regulator Rectifier and gasket.
Meet or exceeds the OEM quality, direct replacement to your original unit.
Perfect fit and ready to install.
Always use a sealant to mount the cable gland joint.
Instruction is NOT included.

Attention:
One of the most common reasons a stator breaks down is due to a broken regulator, which burns the stator in no time.
Therefore we highly recommend you to switch both parts.
Technically modified stators are excluded from exchange.

Specifications:
Condition: Aftermarket 100% Brand New
Type: Stator and Regulator Kit

other specification:
Stator
Number of wires: 5
Number of plugs: 2
Number of pins: 3 + 2
Number of fixation holes: 6
Number of poles: 18
Interior diameter: 54 mm
Exterior diameter: 119 mm
Pick up pulsar coil included.

Regulator
Number of plugs: 1
Number of pins: 6

Please compare the number of pins and plugs with the old part before purchasing.

Replacement Part Number:
Stator Assy: 0802-041
Rectifier, regulator: 0824-037, 0824-020
Gasket, generator cover: 0830-128

(Always compare part numbers to your parts schematics and cross reference appropriately.)
(This is NOT a genuine Part, OEM part numbers are included for product type identification and comparison only.)

Fits Make/Model/Year:
Fit for Arctic Cat ATV 550 GT 2012
Fit for Arctic Cat ATV 550 H1 2009-2012
Fit for Arctic Cat ATV 550 H1 Limited Edition 2009-2012
Fit for Arctic Cat ATV 550 Limited Edition 2012-2013
Fit for Arctic Cat ATV 550 XT 2013
Fit for Arctic Cat ATV 550 XT International 2013
Fit for Arctic Cat ATV 700 GT 2012
Fit for Arctic Cat ATV 700 GT International 2012
Fit for Arctic Cat ATV 700 H1 EFI 2009-2012
Fit for Arctic Cat ATV 700 H1 EFI Limited Edition 2009-2012
Fit for Arctic Cat ATV 700 H1 EFI Special Edition 2008
Fit for Arctic Cat ATV 700 Limited 2012
Fit for Arctic Cat ATV 700 Limited International 2012
Fit for Arctic Cat ATV 700S H1 EFI 2010-2011
Fit for Arctic Cat ATV 700S H1 EFI Limited Edition 2010-2011
Fit for Arctic Cat MudPro 700 H1 2009-2012
Fit for Arctic Cat MudPro 700 H1 International 2009-2012
Fit for Arctic Cat MudPro 700 Limited 2012
Fit for Arctic Cat MudPro 700 Limited International 2012
Fit for Arctic Cat Prowler 550 2009
Fit for Arctic Cat Prowler 550 International 2009
Fit for Arctic Cat Prowler 550 XT 2010-2012
Fit for Arctic Cat Prowler 550 XT International 2010-2012
Fit for Arctic Cat Prowler 700 HDX 2011-2012
Fit for Arctic Cat Prowler 700 HDX International 2011-2012
Fit for Arctic Cat Prowler 700 XT 2009
Fit for Arctic Cat Prowler 700 XTX 2008-2010
Fit for Arctic Cat Prowler 700 XTX EPS 2011-2012
Fit for Arctic Cat Prowler 700 XTX EPS International 2011-2012
Fit for Arctic Cat Prowler 700 XTX Limited Edition 2009-2010
Fit for Arctic Cat Prowler 700 XTX M4 2009
Fit for Arctic Cat Prowler 700s XTX EPS 2011
Fit for Arctic Cat Prowler 700s XTX EPS International 2011
Fit for Arctic Cat TRV 550 Cruiser 2012
Fit for Arctic Cat TRV 550 Cruiser International 2012
Fit for Arctic Cat TRV 550 GT 2012
Fit for Arctic Cat TRV 550 GT International 2012
Fit for Arctic Cat TRV 550 H1 2009-2011
Fit for Arctic Cat TRV 550 H1 International 2010-2011
Fit for Arctic Cat TRV 550 H1 Limited Edition 2009
Fit for Arctic Cat TRV 550 Limited 2013
Fit for Arctic Cat TRV 550 Limited International 2013
Fit for Arctic Cat TRV 550 XT 2013
Fit for Arctic Cat TRV 550 XT International 2013
Fit for Arctic Cat TRV 550S H1 Cruiser 2011
Fit for Arctic Cat TRV 550S H1 Cruiser International 2011
Fit for Arctic Cat TRV 550S H1 GT 2011
Fit for Arctic Cat TRV 550S H1 GT International 2011
Fit for Arctic Cat TRV 700 Cuiser 2009-2012
Fit for Arctic Cat TRV 700 Cuiser International 2009-2012
Fit for Arctic Cat TRV 700 GT 2012
Fit for Arctic Cat TRV 700 GT International 2012
Fit for Arctic Cat TRV 700 H1 2010-2011
Fit for Arctic Cat TRV 700 H1 International 2010-2011
Fit for Arctic Cat TRV 700S Cuiser 2011
Fit for Arctic Cat TRV 700S H1 2010-2011
Fit for Arctic Cat TRV 700S H1 International 2010-2011

(Compatibility Chart is for reference ONLY!!!)
(Please Compare with Your faulty unit and the image we provided to Decide Fitment)

Package Includes:
1 x 5-Wire Generator Stator
1 x 6-Pin Regulator Rectifier
1 x Crankcase Gasket

(Comes exactly as pictured.)

Note:
Before installing your new stator regulator rectifier;

Check the AC output of the stator.
Replace any burned or corroded connectors on stator and regulator/rectifier.
Check and repair any melted wiring.
Use hi-temp dielectric grease on all connectors.
Our stator / regulator may use a different wire color code than your original.
All of the wires are installed in the correct order; please do not change any of the wiring configurations.
This stator is designed as a direct plug-in replacement and should be used as such.
When bolting stator in, always use locking compound.
If our stator includes a pickup coil, always make sure the air gap is correct upon installation.

You will get exactly what you see in pictures, if in doubt do not hesitate to compare our item to your original part.
The product on offer is an accessory or spare part and thus is not an original product of the vehicle manufacturer.
The name of the vehicle manufacturer is stated only as an indication of the determination of the product being offered as an accessory or spare part, to clarify, for which vehicle the product on offer fits.

Warranty:
Returns: Customers have the right to apply for a return within 60 days after the receipt of the product
24-Hour Expert Online: Solve your installation and product problems

Shipping Notes
  • Free Standard Shipping on $100+ Orders to the USA.
  • Except Preorder products are shipped in 48 hours.
  • Delivery to the USA:
  1. Standard Shipping : 3-10 business days
  • If time is of the essence, please consider selecting expedited delivery for faster service.
Exchange/Return Notes
  • We offer a 30-day return/exchange service after receiving.
  • Final sale items are not eligible for returns or exchanges.
  • To process your return/exchange, please contact us at [email protected]
  • Please click here for more details>>> Return & Exchange Policy
SKU: 80332518427

Discover Niche Categories That Outsell

Top-Converting Item to Boost Your Average Order

4.6 ★★★★★
Based on 29 reviews
Sort
Highest Rating
Newest First
Oldest First
Product Reviews
P
Verified Purchase
Par
Lowell, US
★★★★★ 5
Excellent book on ML
Format: Paperback
This is a great book on machine learning. Topics covered are extensive - from beginner level to advanced topics including math behind different algorithms. However, not "all" algorithms are covered. Please go through the table of contents. The first part - 11 chapters - covers machine learning concepts and second part covers advanced topics with Pytorch. There are lots of excellent code and they work!! The quality of the book I received is excellent. I have gone through all 742 pages, and it has held up very well!! I used Jupyter notebook to run all examples. I created a new notebook and copied and pasted the code and ran them. This approach worked very well for me. At the same time, I could experiment with my take on the code snippets and definitely added to my knowledge. Only issue I have is on the second part of the book discussing PyTorch: (1) Some packages are a bit older version: e.g., transformer 4.9.1 whereas current version is 4.48+. It took some tweaking/recoding to get the examples working. (2) There is not much discussion on why certain architecture was chosen - e.g., number of layers, is there a rule of thumb on how to improve performance by changing these parameters? Even with CUDA the code run for a long time. Therefore, experimenting with different values of parameters become too time consuming. (3) On the same note, if I can achieve test accuracy of 90%+ using logistic regression and almost the same (perhaps one or two percent better with PyTorch with IMDB movie review dataset and that two much faster why should I use PyTorch for this dataset? Obviously, PyTorch is for certain types of problems. Discussions can be included by not adding to the exhaustive (and apt) contents. Personally I was disappointed by lack of any example on time series. Must have for ML practitioner as a reference and guide.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on December 20, 2024
R
Verified Purchase
Richard Hackathorn
San Leandro, US
★★★★★ 5
Excellent Textbook for Hands-On Learning of ML
Format: Kindle
This textbook is for the serious life-long learners of machine learning. There are at least two ways to ‘consume’ this book. For the expert in ML, this is a textbook to study as a clear comprehensive ML overview and then to dive into sections of interest or ignorance. The concepts are grounded in code examples and are well cited (with links) to sources. Further, this textbook is appropriate if you are TensorFlow-centric and want to broaden into cutting-edge ML models/tools coded in PyTorch. For a new learner to ML, this is a textbook to DO (not just READ) with hands-on and brain-engaged. If you realize that ML is a key life-long skill for your career, consider this textbook as part of a daily learning habit (10-30 min). From personal experience, my advice to the new learner is as follows… First, clone the GitHub repository, setup your Python environment, and study the textbook, while working through the notebooks. Go on tangents and break the code. Do this methodically as part of your daily learning habit, but do not hesitate to jump ahead several chapters to prepare for tomorrow’s meeting. There is enough excellent material here for a full year of ML adventures. I did a similar strategy with Raschka’s first textbook. About four years ago, I had finished Andrew Ng’s Deep Learning Specialization as a student in his first cohort. I knew the concepts well but could not do the actual application coding. I was surprised how my Python coding improved by following Raschka’s clean and elegant style. And Raschka’s code examples were meaty enough to be springboards into working applications. Several textbook editions later, what is different about this new edition? First, it moves you through scikit-Learn (a firm foundation) to PyTorch, instead of TensorFlow. PyTorch is a better stepping-stone, both conceptually and practically. With PyTorch, you will go further with less energy, while being able to convert your efforts into TensorFlow as needed. In addition, most of the cutting-edge ML/AI/DL research is in PyTorch. It is nice to read a recent arXiv paper, clone their repository, click on the Colab tutorial, and replicate their experiments, along with picking up a ton of new coding tricks & tips. I am excited to work through these PyTorch sections to hone my skills. Second, there is a clear recognition of model tracking and tuning practices. This is often a gap in other ML textbooks and courses. Once you progress beyond the simple demo examples in a lecture, you realize that the real work is experiments, more experiments, and still more experiments, so that you must understand what the model architecture and hyperparameters are doing to your dataset. There is good coverage of scikit-Learn pipeline, grid search, model performance, and the like. Third, ML/AI/DL practice is rapidly evolving. Every week new ML packages/services become available that could save much grief on your current project. What is refreshing about Raschka’s textbook series is that he constantly adding cutting-edge topics because he likes to stay current and to help us stay current. Hence, this edition contains recent ML treats as: transformers, self-supervised learning, autoencoders-to-GAN, graph neural networks, DBSCAN, t-SNE (with brief mention of UMAP), and PyTorch-Lightning.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on February 26, 2022
A
Verified Purchase
Amazon Customer
Draper, US
★★★★★ 4
Just learning it
Format: Paperback
Nice learning book just have to finish it
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on December 10, 2025
K
Verified Purchase
Kindle Customer
Pawtucket, US
★★★★★ 5
Very useful book
Format: Paperback
I use it for the machine learning class I teach.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on May 3, 2026
T
Verified Purchase
Tommy Jonsson
Chelsea, US
★★★★★ 5
Cover many areas in detail and recommendations for more to read for what's outside
Format: Paperback
Good book!
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on May 4, 2026

recommand products

WinmaX W7 Race Brake Pads Mazda MX5 NB8B
193.00
WinmaX W1 Street Performance Brake Pads Nissan Stagea M35 / 350Z Touring / V35
199.00
WinmaX W6.5 Race Brake Pads Hyundai Excel X3
193.00
WinmaX W7 Race Brake Pads Nissan 350Z Track / Type R Honda Brembo
226.00
Lamentations of the Flame Princess - World of the Lost
34.95