SKU: 96876451604

2014-2022 Yamaha RX1800 SX190 CALIFORNIA Starter Motor 6S5-81800-00

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Description

2014-2022 Yamaha RX1800 SX190 CALIFORNIA Starter Motor 6S5-81800-00New Starter Motor Engine Starting Fit For Yamaha VXS VXR FX SHO FZR FZS FX CRUISER HO 6S5 81800 00 00 Features: Brand new starter, not a remanufactured or refurbished one with wear and tear. High quality magnets or field coils deliver more torque for fast starts,good working condition. Inside and out starter motors improve reliability over longer periods of time. Designed for individual vehicle power consumption, and are ready to be installed quickly

New Starter Motor Engine Starting Fit For Yamaha VXS VXR FX SHO FZR FZS FX CRUISER HO 6S5-81800-00-00

Features:
-Brand new starter, not a remanufactured or refurbished one with wear and tear.
-High-quality magnets or field coils deliver more torque for fast starts,good working condition.
-Inside and out starter motors improve reliability over longer periods of time.
-Designed for individual vehicle power consumption, and are ready to be installed quickly and easily.
-New Armatures are precision-manufactured and tested for long service life.
-Replaces existing starter motor, Just replace and ride again.
-Professional installation will be highly recommanded,installation instruction NOT included.

Specifications:
Condition: Aftermarket 100% Brand New
Fitment Type: Direct Replacement
Surface Finish: Heavy Duty
Unit Type: Starter
Number of Teeth: 13 Tooth
Rotation: CCW / Counterclockwise
Overall Length: 206mm
Center Hole to Hole Mount Spacing: 40mm

Replacement Part Number:
6S5-81800-00

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

Fits Models:
Fit for Yamaha FX1800 FX SUPER HIGH OUTPUT 2008/2010-2011
Fit for Yamaha FX1800 FX CRUISER SUPER HIGH OUT 2008
Fit for Yamaha FX1800 FX CRUISER SHO 2009-2011
Fit for Yamaha FX1800 FX CRUISER SVHO WAUD 2022
Fit for Yamaha FX1800 FX CRUISER HO WITH A 2022
Fit for Yamaha FX1800 FX HO WITH AUDIO 2022
Fit for Yamaha FX1800 FX SVHO WITH AUDIO 2022
Fit for Yamaha FX1800 FX LIMITED SVHO 2022
Fit for Yamaha FX1800 FX SHO 2009
Fit for Yamaha FY1800 FX CRUISER HO 2009-2011
Fit for Yamaha FY1800 FX HO 2009-2011
Fit for Yamaha FB1800 FX CRUISER HO 2012-2021
Fit for Yamaha FB1800 WAVE RUNNER FX SHO 2016
Fit for Yamaha FB1800 WAVERUNNER FX HO 2013-2015
Fit for Yamaha FB1800 WAVERUNNER FX HO 2017
Fit for Yamaha FA1800 FX CRUISER SHO 2012-2016
Fit for Yamaha FA1800 FX SHO 2012
Fit for Yamaha FA1800 WAVE RUNNER FX SHO 2013-2015
Fit for Yamaha FC1800 FX CRUISER SVHO 2014-2021
Fit for Yamaha FC1800 FX LIMITED SVHO 2017-2021
Fit for Yamaha FC1800 FX SVHO 2015-2021
Fit for Yamaha GP1800 FX HO WITH AUDIO 2021
Fit for Yamaha GP1800 2017-2018
Fit for Yamaha GP1800R 2019
Fit for Yamaha GP1800 GP1800R HO 2021
Fit for Yamaha GP1800 GP1800R HO_HO WITH A 2022
Fit for Yamaha GP1800 GP1800R SVHO 2020-2021
Fit for Yamaha GP1800 GP1800R SVHO WITH AU 2021
Fit for Yamaha GP1800 GP1800R SVHO_SVHO WI 2022
Fit for Yamaha GP1800 GP1800R SVHO_SVHO WI 2022
Fit for Yamaha GX1800 WAVERUNNER FZR 2013-2016
Fit for Yamaha GX1800 WAVERUNNER FZS 2013-2016
Fit for Yamaha GX1800 FZR 2009-2012
Fit for Yamaha GX1800 FZS 2009-2012
Fit for Yamaha SH1800 190 FSH 2016-2019
Fit for Yamaha SH1800 190 FSH DELUXE 2016-2018
Fit for Yamaha SH1800 190 FSH SPORT 2016-2018
Fit for Yamaha UX1800 190 FSH DELUXE 2019-2021
Fit for Yamaha UX1800 190 FSH SPORT 2019-2021
Fit for Yamaha UP1800 195 FSH DELUXE 2020-2021
Fit for Yamaha UP1800 195 FSH SPORT 2020-2021
Fit for Yamaha TP1800 195S 2020-2022
Fit for Yamaha XBT1800 212 2020
Fit for Yamaha XBT1800 212S 2020
Fit for Yamaha XBT1800 212S CALIFORNIA 2020
Fit for Yamaha XBT1800 212X 2017-2020
Fit for Yamaha XBT1800 212X CALIFORNIA 2018-2020
Fit for Yamaha XBT1800 212 LIMITED CALIFORNIA 2018
Fit for Yamaha XBT1800 212 LIMITED (XBT1800CLS) 2017-2019
Fit for Yamaha XBT1800 212 LIMITED S 2018-2019
Fit for Yamaha XBT1800 212 LIMITED S CALIFORNIA 2018
Fit for Yamaha XBT1800 212 LIMITED S CALIFO 2019
Fit for Yamaha AXT1800 212 2021
Fit for Yamaha AXT1800 212S 2021-2022
Fit for Yamaha AXT1800 212S CALIFORNIA 2021
Fit for Yamaha AXT1800 212XE 2021
Fit for Yamaha AXT1800 212XE CALIFORNIA 2021
Fit for Yamaha AXT1800 212XD 2021-2022
Fit for Yamaha AXT1800 212SE (FW) 2021-2022
Fit for Yamaha AXT1800 212SE CALIFORNIA 2021-2022
Fit for Yamaha XAT1800 212SS CALIFORNIA 2014-2016
Fit for Yamaha XAT1800 212SS 2012-2016
Fit for Yamaha XAT1800 212X 2012-2016
Fit for Yamaha XAT1800 212X CALIFORNIA 2013-2016
Fit for Yamaha SAT1800 242 LIMITED S CALIFO 2019
Fit for Yamaha SAT1800 242 LIMITED S 2015-2019
Fit for Yamaha SAT1800 242 LIMITED CALIFORNIA 2015-2016
Fit for Yamaha SAT1800 242 LIMITED E SERIES 2016
Fit for Yamaha SAT1800 242 LIMITED E SERIES CALIFORNIA 2016
Fit for Yamaha SAT1800 242 LIMITED S E SERIES 2016
Fit for Yamaha SAT1800 242X E SERIES 2016-2020
Fit for Yamaha SAT1800 242X E SERIES CALIFORNIA 2016-2018
Fit for Yamaha SAT1800 242X E-SERIES CALIFO (ELU) 2019-2020
Fit for Yamaha SAT1800 242S 2020
Fit for Yamaha SAT1800 242S CALIFORNIA 2020
Fit for Yamaha SAT1800 242S E SERIES (FV) 2020
Fit for Yamaha SAT1800 242S E SERIES CALIFO 2020
Fit for Yamaha SAT1800 242 LTD E SERIES 2017
Fit for Yamaha SAT1800 242 LTD E SERIES CALIFORNIA 2017
Fit for Yamaha SAT1800 242 LTD S CALIFORNIA 2017-2018
Fit for Yamaha SAT1800 242 LTD S E SERIES 2017-2019
Fit for Yamaha SAT1800 242 LTD S E-SERIES C 2019
Fit for Yamaha SAT1800 242 LTD S E SERIES CALIFORNIA 2017-2018
Fit for Yamaha SAT1800 AR240 HIGH OUTPUT 2015-2020
Fit for Yamaha SAT1800 AR240 CALIFORNIA 2015
Fit for Yamaha SAT1800 AR240 HO CALIFORNIA 2016
Fit for Yamaha SAT1800 AR240 HIGH OUTPUT 2015-2020
Fit for Yamaha SAT1800 AR240 HO CALIFORNIA 2017-2020
Fit for Yamaha SAT1800 SX240 HIGH OUTPUT 2015-2016
Fit for Yamaha SAT1800 SX240 HIGH OUTPUT 2017-2020
Fit for Yamaha SAT1800 SX240 CALIFORNIA 2015
Fit for Yamaha SAT1800 SX240 HO CALIFORNIA 2016-2018
Fit for Yamaha SXT1800 242 LIMITED 2010-2016
Fit for Yamaha SXT1800 242 LIMITED S 2010-2014
Fit for Yamaha SXT1800 242 LIMITED S CALIFORNIA 2013-2016
Fit for Yamaha SXT1800 242 LIMITED CALIFORNIA 2013-2014
Fit for Yamaha SXT1800 AR240 2014
Fit for Yamaha SXT1800 AR240 HIGH OUTPUT 2010-2013
Fit for Yamaha SXT1800 AR240 CALIFORNIA 2013-2014
Fit for Yamaha SXT1800 SX240 2014
Fit for Yamaha SXT1800 SX240 HIGH OUTPUT 2010-2013
Fit for Yamaha SXT1800 SX240 CALIFORNIA 2013-2014
Fit for Yamaha BXT1800 252S 2021-2022
Fit for Yamaha BXT1800 252S CALIFORNIA 2021-2022
Fit for Yamaha BXT1800 252SD 2021
Fit for Yamaha BXT1800 252SE 2021-2022
Fit for Yamaha BXT1800 252SE CALIFORNIA 2021
Fit for Yamaha BXT1800 252XE 2021
Fit for Yamaha BXT1800 252XE CALIFORNIA 2021
Fit for Yamaha BXT1800 AR250 2021-2022
Fit for Yamaha BXT1800 AR250 CALIFORNIA 2021-2022
Fit for Yamaha BPT1800 255XD 2021-2022
Fit for Yamaha BPT1800 255XE 2021-2022
Fit for Yamaha BXT1800 SX250 2021-2022
Fit for Yamaha BXT1800 SX250 CALIFORNIA 2022
Fit for Yamaha KXT1800 252 FSH SPORT 2021-2022
Fit for Yamaha KPT1800 255 FSH SPORT E 2022
Fit for Yamaha FPT1800 275E 2019-2022
Fit for Yamaha FPT1800 275SD 2019-2022
Fit for Yamaha FPT1800 275SE 2019-2022
Fit for Yamaha RX1800 AR190 2012-2014/2016-2018
Fit for Yamaha RX1800 AR190 CALIFORNIA 2014-/2016-2018
Fit for Yamaha RX1800 AR210 2015
Fit for Yamaha RX1800 AR210 CALIFORNIA 2015
Fit for Yamaha RX1800 SX190 2012-2016/2018
Fit for Yamaha RX1800 AR240 HO CALIFORNIA 2017
Fit for Yamaha RX1800 SX190 CALIFORNIA 2014-2022
Fit for Yamaha RX1800 SX240 HIGH OUTPUT 2017
Fit for Yamaha TX1800 AR190 2019-2021
Fit for Yamaha TX1800 AR190 CALIFORNIA 2019-2022
Fit for Yamaha TX1800 SX190 2019-2022
Fit for Yamaha TP1800 AR195 2019-2021
Fit for Yamaha TP1800 SX195 2019-2022
Fit for Yamaha RM1800 AR192 2013-2016
Fit for Yamaha RP1800 AR195 2017-2018
Fit for Yamaha RP1800 SX195 2017-2018
Fit for Yamaha RM1800 SX192 2013-2016
Fit for Yamaha VX1800 VXR 2011-2019
Fit for Yamaha VX1800 VX CRUISER WITH AUDI 2021-2022
Fit for Yamaha VX1800 VX LIMITED HO 2021-2022
Fit for Yamaha VX1800 VXS 2011-2016
Fit for Yamaha VX1800 GP1800R HO 2020
Fit for Yamaha VC1800 VX CRUISER HO 2017-2020
Fit for Yamaha VC1800 VX CRUISER HO 2016

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

Package includes:
1x Starter Motor

Note:
All electrical components must be fitted by a qualified technician.
Before fitting electrical components ensure the root cause of the original failure has been addressed.
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: 96876451604

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4.4 ★★★★★
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Product Reviews
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Om S
Los Angeles, US
★★★★★ 4
Title: Really Good Book for Learning LLMs
Format: Paperback, Format: Paperback
I picked up this book after struggling with LLM implementation at work. Ken Huang explains things clearly without too much technical jargon. The book covers everything from data preparation to building AI agents. I especially liked the chapters on RAG and prompting techniques - they helped me improve my current projects. The code examples actually work, which is nice. Some parts are pretty advanced, so you need basic Python knowledge. I had to read a few chapters twice to fully get it. The fairness and bias detection section was eye-opening. Good practical advice throughout. Not just theory - real solutions you can use. Worth the money if you're serious about LLM development. Recommended for anyone building AI systems professionally.
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Reviewed in the United States on July 25, 2025
J
Jiewen Wang
Massapequa, US
★★★★★ 5
a comprehensive guide at the intersection of generative AI and cybersecurity
Format: Kindle
This book blends deep theoretical foundations with practical frameworks and forward-looking strategies. From adversarial risk models to actionable guidance using OWASP Top 10 for LLMs and the NIST AI RMF, it offers both technical depth and operational clarity. What makes it stand out is its balance of academic rigor and real-world CISO insights, providing a holistic perspective on securing GenAI systems. While it leans enterprise-focused, the content remains accessible to security engineers, risk managers, and policy leaders alike. Generative AI Security is a timely and essential read for anyone working to deploy GenAI responsibly—building systems with both power and integrity in today’s fast-evolving threat landscape.
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Reviewed in the United States on July 2, 2025
N
Nader
Belleville, US
★★★★★ 1
Light on substance and heavy on flaws
Format: Paperback
The book has a great list of topics, but fails to provide much substance any of them. Most of the provided code is just comments that avoid the actual crux of the issues being discussed. (e.g. #implement the logic to validate XYZ - while the whole point of this chapter is teach how the heck we validate XYZ!) Some parts are plain wrong, for example the part on Graph based RAG is fundamentally flawed as it assumes the text embedding and the graph embedding are in the same latent space. (This is one of many more examples). Seems like the book was rushed, and the author has limited hands on experience (if any). At least we know based on the amount of flaws that it was not written by an LLM
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Reviewed in the United States on December 31, 2025
N
noam barkay
Cuba, US
★★★★★ 5
Excellent book to truly understand LLM design patterns
Format: Paperback
I just finished reviewing Ken Huang's pocket book on LLM Design Patterns, and WOW what an amazing resource! This book is excellent if you want to truly understand how to create and enhance intelligent AI language models, all that in your pocket! Ken makes the difficult things seem surprisingly easy, and that's the real MAGIC. - How to prepare your data for training by making it extremely clean. Developing the brains: the practical aspects of training, optimizing, and maintaining your models. - Learn amazing prompting techniques (such as Chain-of-Thought and Tree-of-Thoughts) to improve your AI's reasoning and problem-solving abilities. Learn everything there is to know about RAGs so that your LLM can incorporate outside expertise. - It also delves into creating "agentic" AI that is capable of action and planning (not only simple plan and execute but also enhanced techniques like ReWoo!) Really, this feels like a useful toolkit, so Ken thank you for that resource Thanks, Idan Habler
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Reviewed in the United States on June 9, 2025
R
Ryan Meyer
Houston, US
★★★★★ 3
A Broad Overview, But Light on Modern Fine-Tuning
Format: Paperback
I'm currently really interested in fine-tuning LLMs and recently completed my first LoRA-based fine-tuning on a quantized model. I came to this book looking for more detail on fine-tuning. While it touches on the topic, I found the content didn’t quite align with the current state of the field in 2025. Techniques like LoRA, QLoRA, and PEFT weren’t really covered, and the material leaned more toward what I think are older or lower level approaches. That made it harder to connect with what I’m actually working on. That said, when I shifted to other chapters — like the sections on prompt engineering techniques such as Chain of Thought (CoT) and Tree of Thought (ToT) — I found more value. These sections were clearer, and I picked up a few practical insights, like using few-shot examples that walk through the CoT reasoning process. That’s not something I’ve tried before, and I can see how it might help smaller models that struggle with any type of reasoning tasks. Overall, the book feels more like a broad overview of all LLM concepts. For someone exploring many topics across the LLM ecosystem, it offers a wide-ranging introduction. But for readers like me who are actively trying to learn and apply techniques like fine-tuning and quantization, it may leave you wanting up-to-date guidance.
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Reviewed in the United States on August 10, 2025

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