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Description
LP1SK0600BDMain Product or component type Mini contactor Device short name LP1SK Contactor application Resistive load Utilisation category AC 1 Power pole contact composition 2P Pole contact composition 2 NO [Ue] rated operational voltage Power circuit: 690 V AC 50 60 Hz [Ie] rated operational current 12 A (at <55 C) AC AC 1 Control circuit type DC standard [Uc] control circuit voltage 24 V DC [Ith] conventional free air thermal current 12 A (at 55 C) for power
Main
| Product or component type | Mini contactor |
| Device short name | LP1SK |
| Contactor application | Resistive load |
| Utilisation category | AC-1 |
| Power pole contact composition | 2P |
| Pole contact composition | 2 NO |
| [Ue] rated operational voltage | Power circuit: 690 V AC 50/60 Hz |
| [Ie] rated operational current | 12 A (at <55 °C) AC AC-1 |
| Control circuit type | DC standard |
| [Uc] control circuit voltage | 24 V DC |
| [Ith] conventional free air thermal current | 12 A (at 55 °C) for power circuit |
| Irms rated making capacity | 66 A at 690 V AC conforming to IEC 60947 66 A at 690 V AC conforming to NF C 63-110 |
| Rated breaking capacity | 52 A at <= 400 V for power circuit conforming to NF C 63-110 52 A at <= 400 V for power circuit conforming to IEC 60947 |
| [Icw] rated short-time withstand current | 50 A 55 °C for power circuit |
| Associated fuse rating | 16 A gI at <= 440 V for power circuit conforming to IEC 60947 |
| Average impedance | 4 mOhm - Ith 12 A 50 Hz |
| [Ui] rated insulation voltage | 690 V conforming to IEC 60947 690 V conforming to VDE 0110 group C 690 V conforming to BS 5424 690 V conforming to UL 508 690 V conforming to CSA C22.2 No 14 |
| Mounting support | Rail |
| Standards | VDE 0660 BS 5424 NF C 63-110 IEC 60947 |
| Product certifications | CSA UL |
| Connections - terminals | Power circuit: connector 1 cable(s) 0.35…6 mm²flexible with cable end Power circuit: connector 1 cable(s) 0.5…6 mm²flexible without cable end Power circuit: connector 1 cable(s) 1.5…6 mm²solid Power circuit: connector 2 cable(s) 0.35…1.5 mm²flexible with cable end Power circuit: connector 2 cable(s) 0.35…2.5 mm²flexible without cable end Power circuit: connector 2 cable(s) 1.5…4 mm²solid |
| Tightening torque | 0.8 N.m - on connector - with screwdriver pozidriv No 1 |
| Operating time | 4...6 ms coil de-energisation and NO opening 8...12 ms coil energisation and NO closing |
| Mechanical durability | 10 Mcycles |
| Maximum operating rate | 1200 cyc/h |
Complementary
| Control circuit voltage limits | Operational: 0.85...1.1 Uc (at <50 °C) Drop-out: 0.1...0.75 Uc (at <50 °C) |
| Inrush power in W | 2.2 W (at 20 °C) |
| Hold-in power consumption in W | 2.2 W at 20 °C |
| Heat dissipation | 2.2 W |
Environment
| IP degree of protection | IP2x conforming to VDE 0106 |
| Protective treatment | TC conforming to IEC 60068 TC conforming to DIN 50015 |
| Ambient air temperature for operation | -20…50 °C |
| Ambient air temperature for storage | -50…70 °C |
| Operating altitude | 2000 m without |
| Height | 56 mm |
| Width | 27 mm |
| Depth | 55.5 mm |
| Net weight | 0.132 kg |
Offer Sustainability
| Sustainable offer status | Green Premium product |
| REACh Regulation | REACh Declaration |
| EU RoHS Directive | Under investigation |
| Mercury free | Yes |
| RoHS exemption information | Yes |
| China RoHS Regulation | China RoHS declaration |
| Environmental Disclosure | Product Environmental Profile |
| Circularity Profile | No need of specific recycling operations |
| WEEE | The product must be disposed on European Union markets following specific waste collection and never end up in rubbish bins |
Contractual warranty
| Warranty | 18 months |
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- Free Standard Shipping on $100+ Orders to the USA.
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4.5 ★★★★★
Based on 23 reviews
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Product Reviews
★★★★★ 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
★★★★★ 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
★★★★★ 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
★★★★★ 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
★★★★★ 5
This is the best purchase I’ve made in 2025!
Format: Paperback, Format: Paperback
I don’t even know where to start ever since I finished (in early August, 2025) the whole series of this comic. I have never been this much speechless in my life. It’s my first comic that I’ve ever read and finished it.
I got into invincible through the TV show and I wanted to give a shot on comics because people said it’s even better than the show, and I was blown away just by the tv show until I started reading this.
It didn’t matter how tired I would be and/or how busy I would be, but I’d still make time to grab and read at least some pages very excited.
There are so many parts in this comics where it reflected on my personal life and somewhat opened my eyes of what I had and need to do in my life. It was really fun, exciting, loving, caring, sad and emotional story. This comic has a definitive beginning and a final, conclusive ending.
I loved it overall despite where there were some boring parts, but it all made sense later in the main story. Very well developed characters, stories and art.
Now whenever I pass by my bookshelf and I see these books puts big fat huge smile on my face. I’m glad I have it in my collection. I got to experience in this comic what I couldn’t in real life.
Every other night in random or toughest moment I would think about what would mark do in this situation.
Thank you for this masterpiece ❤️
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Reviewed in the United States on September 18, 2025