SKU: 41240835348

ANDERSEN 28 ST FS - 2-Speed Self-Tailing Manual Winch - Full Stainless Steel [RA2028010000]

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Description

ANDERSEN 28 ST FS - 2-Speed Self-Tailing Manual Winch - Full Stainless Steel [RA2028010000]28 ST FS 2 Speed Self Tailing Manual Winch Full Stainless Steel If you take pride in having your yacht look its best, ANDERSEN's Full Stainless Self Tailing Winch creates the dock stopping appeal you desire. It combines all the convenience and power of ANDERSEN's self tailing winch with a stunning all stainless steel look. From top to bottom the drive shaft stripper arm, self tailing jaws, drum and upper & lower trim rings are manufactured in highest

28 ST FS - 2-Speed Self-Tailing Manual Winch - Full Stainless Steel


If you take pride in having your yacht look its best, ANDERSEN's Full Stainless Self-Tailing Winch creates the dock-stopping appeal you desire. It combines all the convenience and power of ANDERSEN's self-tailing winch with a stunning all stainless steel look.

From top to bottom the drive shaft stripper arm, self-tailing jaws, drum and upper & lower trim rings are manufactured in highest quality and beautifully polished grade 316 stainless steel. The dramatic result is a highly reflective winch that becomes a highlight of the boat and a true reflection of your yachting pride. We like to say, “Full Stainless – Beyond Good Looks.”

As with all ANDERSEN Winches™, our Full Stainless Self-Tailing winch features the exclusive stainless steel Power Rib™ drum for maximum power and extended line life. This model also uses our exclusive self-tailing device that automatically accommodates a wide range of different line sizes.

Materials

Andersen winch drums are produced from grade 316L stainless steel, cold formed in stages during manufacture to further increase strength and hardness as it takes its final form. The resulting construction is lightweight, yet stiff and unyielding. 

Drive shafts are in grade 329 duplex stainless steel. Pawls are cut from a cold pressed profile in grade 316 stainless steel and are virtually unbreakable. 

The upper center stems are manufactured from aluminum bronze for ultimate durability. The combination of materials and design contribute to a lightweight, rigid final assembly that enhances. the mechanical efficiency of the winch. Andersen winces are of similar weight to winches with aluminum drums, but are far more durable. 

Power Rib™

ANDERSEN Winches© feature the Power Rib™. Unlike other winches with abrasive drum surfaces, ANDERSEN winch drums have vertical ribs running up the surface. This combined with the smooth polished stainless steel gives a maximum grip and minimum wear on ropes, reducing the replacements costs of sheets and halyards. What's more, the Power Rib principle simply makes sailing more pleasurable. Fewer turns on the winch make tacking easier. Sheets can be gently eased out without harsh snatching and the risks of overrides and jammed sheets are significantly reduced. The grip provided by the ribs will remain the same year after year, unlike many other winches with an abrasive or sandpaper-like surface. Such surfaces have a tendency to wear down both ropes and themselves.

Power Ratio

Power Ratio is the mechanical advantage of the winch and is calculated as follows:

length of handle x gear ratio

        radius of drum

The pull of the winch is based on the Power Ratio and not just on the physical size of the winch or the diameter of the drum. The Power Ratio is used to determine the load the winch may handle as follows:pull of handle (kg x Power Ratio = pull of winch (kg).

This means that by applying a load of 10kg, using a 10" standard handle, on a Power Ratio 40:1 winch, the winch can pull 400kg, assuming that the winch is 100% efficient. This is not possible in practice as the efficiency is reduced by internal mechanical friction losses.

Features

Anderson winch drums incorporate the distinctive Power Rib which ensures a controlled grip on the line at all times, whether trimming or easing. The highly polished stainless steel surface minimizes vertical friction and allows the loaded rope turns to slide easily upward as the drum rotates, without the shuddering and excessive rope wear seen on winches that rely on a rough surface finish for grip. 

Stainless steel roller bearings and ball bearings carry the highest drum loads to the center stem of the winch, minimizing efficiency losses due to friction. 

The self tailing arm can be rotated through 360 degrees for optimum positioning (40ST and larger). Stainless steel self-tailing jaws adjust automatically to suit various rope sizes. 

Andersen winches are designed for simple, straightforward installation and maintenance. Servicing is only required every two years or so, under normal use. 



Specifications:

Drum Ø:70mm(2-3/4")

Base Ø:125mm(4-15/16")

Height:151mm(5-15/16")

Line Entry:65mm(2-9/16")

Line Size:8-14mm(1/8 - 11/16")

Weight;3.9kg(8.6lbs)

Gear ratio 1st speed1.3 : 1

Gear ratio 2nd speed:4.0 : 1

Power ratio 1st speed:9.5 : 1

Power ratio 2nd speed:28.6 : 1



Quick Guide (pdf)
Owner's Manual (pdf)
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SKU: 41240835348

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Adam
Waukegan, US
★★★★★ 4
Too Dry.
Format: Hardcover
This was a required textbook for my class in college. I think it was too dry. The book titled Deep Learning: From Curiosity To Mastery is much more approachable.
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Reviewed in the United States on May 22, 2026
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Amazon Customer
New York, US
★★★★★ 5
Comprehensive! The Bible of Deep Learning!
This book has by far surpassed my expectations! I have purchased many machine learning and deep neural network books in the past, but nothing has ever come close to this book! First of all, it is written by the fathers of Deep Learning, and is therefore an authority. Secondly, the book is broken into three parts: 1. A math overview and refresher. 2. Deep Learning applications and 3. Research in Deep Learning. I can't help but go through this book from front to back. It is a smooth read, and every sentence written is meaningful. These guys know their stuff! And after you read this book, YOU WILL ALSO know your stuff! If you feel daunted by the price, just remember, you get what you pay for! I'd say they could easily charge about $300+ for this book, but they are doing everyone a very kind favor by ONLY charging this reasonable amount. You get A LOT of bang for your buck with this purchase. I hesitated at first about buying this book because of the price, but I am soooooo happy that I did! Worth every penny! Look no further, get this book and start your Deep Learning journey!!
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Reviewed in the United States on July 14, 2017
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mackster
Bozeman, US
★★★★★ 1
A rushed, poorly written guide of how the "experts" can't really explain what Deep Learning is
Format: Hardcover
This book, in every sense of the word, is rushed. I think the authors wanted to establish themselves as leaders of this young-ish field, but does so by sacrificing quality. It also shows that Deep Learning theory has been there for a long time, known by another name called Neural Networks. The interesting algorithms are of MLP, Back Propagation and the classical neural networks. The optimization methods such as Adam are the ones that are new and interesting, and the only ones worthy of in this book. So, essentially, what you get from this book is use A for X, B for Y and C for Z type of dry, un-intuitive, badly written waste of paper. As for the structure of the book, it's like an example of how not to structure a book. It has some linear algebra, probability at the start (not good enough, and confuses more people and wastes paper). Goes on to prove other algorithms such as PCA (yeah, ok!). Then, talks about how this architecture works for this and that architecture. So, yeah, if you really want to try out deep learning, don't buy this book. Set up Tensorflow/pytorch/ other library, run the tutorials, find an architecture for the problem you are interested in and start tweaking that. You will have far more fun and would have saved your money. The praise that this book gets is beyond me. Did Musk even read this book? I doubt it.
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Reviewed in the United States on May 15, 2018
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Stergios Papadimitriou
Waukegan, US
★★★★★ 5
The classic textbook on Deep Learning
Format: Hardcover
Deep Learning is the promising direction towards general purpose effective artificial intelligence. There is an explosion of fruitful research in recent years and a lot of applications pursued mainly from technology giants as Google, Amazon, etc. and outstanding research institutions. The book "Deep Learning " by Ian Goodfellow, Yoshua Bengio, Aaron Gourville, is an excellent piece of work. They manage to present rather difficult things in an understandable manner. The theoretical presentation is outstanding typical of "classic" books. Also, the book stays close to the practical applicability of all the methods and discusses applications extensively. There are a lot of other useful books on deep learning that follow a more practical approach by focusing on a particular deep learning software package, but this one book is certainly much more essential since it provides the required theoretical background in order to be able to do serious work on deep learning. I consider the book as "must have" for anyone that works on deep learning either in an academic or in an industrial environment.
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Reviewed in the United States on August 25, 2018
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Sabrina
West Palm Beach, US
★★★★★ 5
100% Recommend
Format: Paperback
Invincible Compendium One completely lived up to the hype. From the very first chapter, I was hooked by the story, the action, and the character development. What starts off feeling like a classic superhero story quickly becomes something much deeper, darker, and way more emotional than expected. The artwork is incredible and the fight scenes are intense without feeling repetitive. Every character feels important and layered, especially Mark and Omni-Man. The pacing is excellent for such a massive collection, and it’s hard to put down once you start reading. If you’re a fan of superhero comics but want something with real stakes, shocking twists, and strong storytelling, this is absolutely worth reading. Easily one of the best graphic novels I’ve picked up in a long time.
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Reviewed in the United States on May 23, 2026

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