ICML 55.2 is part of a series of standards documents that represent the ICML 55® International Lubrication Standard. ICML 55.2 is designed to take an in-depth look at the twelve Lubrication Management Plans/Auditable Elements outlined in ICML 55.1, to illustrate the value of each element (the Why?), and provide the reader with many "how to" examples. Included are many punch lists of typical requirements an auditor would look for to prove compliance readiness for certification purposes. Even if certification is not the goal, ICML 55.2 can be used as a practical "blueprint" manual for implementing a best practice lubrication management program, as well as a reference and study guide for many of the individual certifications offered by the ICML. ICML 55.2 is intended for use in association with ICML 55.0, Optimized Lubrication of Mechanical Physical Assets Overview, ICML 55.1, Requirements for the Optimized Lubrication of Mechanical Physical Assets, and ICML 55.3, Auditors’ Standard Practice and Policies Manual.

ICML 55.0 is part of a series of standards documents that represent the ICML 55® International Lubrication Standard. It is designed to provide an overview of a lubrication management system and processes applicable to the effective management of physical assets related to lubrication, its principles, and terminology. ICML 55.0 is intended for use in association with ICML 55.1, Requirements for the Optimized Lubrication of Mechanical Physical Assets, ICML 55.2, Guideline for the Optimized Lubrication of Mechanical Physical Assets, and ICML 55.3, Auditors’ Standard Practice and Policies Manual.

ICML 55.0 is part of a series of standards documents that represent the ICML 55® International Lubrication Standard. It is designed to provide an overview of a lubrication management system and processes applicable to the effective management of physical assets related to lubrication, its principles, and terminology. ICML 55.0 is intended for use in association with ICML 55.1, Requirements for the Optimized Lubrication of Mechanical Physical Assets, ICML 55.2, Guideline for the Optimized Lubrication of Mechanical Physical Assets, and ICML 55.3, Auditors' Standard Practice and Policies Manual.

ICML 55.1 is part of a series of standards documents that represent the ICML 55® International Lubrication Standard. ICML 55.1 details the twelve Lubrication Management Plans/Auditable Elements that an organization must establish, document, manage, and maintain to satisfy the organization’s lubrication asset management strategy and system, and to successfully certify to the ICML 55 standard. ICML 55.1 is intended for use in association with ICML 55.0, Optimized Lubrication of Mechanical Physical Assets Overview, ICML 55.2, Guideline for the Optimized Lubrication of Mechanical Physical Assets, and ICML 55.3, Auditors’ Standard Practice and Policies Manual.

ICML 55.2 is part of a series of standards documents that represent the ICML 55(R) International Lubrication Standard. ICML 55.2 is designed to take an in-depth look at the twelve Lubrication Management Plans/Auditable Elements outlined in ICML 55.1, to illustrate the value of each element (the Why?).

ICML 55.1 is part of a series of standards documents that represent the ICML 55(R) International Lubrication Standard.

This book provides a systematic and comprehensive overview of machine learning with cognitive science methods and technologies which have played an important role at the core of practical solutions for a wide scope of tasks between handheld apps, industrial process control, autonomous vehicles, environmental policies, life sciences, playing computer games, computational theory, and engineering development. The chapters in this book focus on readers interested in machine learning, cognitive and neuro-inspired computational systems – theories, mechanisms, and architecture, which underline human and animal behaviour, and their application to conscious and intelligent systems. In the current version, it focuses on the successful implementation and step-by-step explanation of practical applications of the domain. It also offers a wide range of inspiring and interesting cutting-edge contributions to applications of machine learning and cognitive science such as healthcare products, medical electronics, and gaming. Overall, this book provides valuable information on effective, cutting-edge techniques and approaches for students, researchers, practitioners, and academicians working in the field of AI, neural network, machine learning, and cognitive science. Furthermore, the purpose of this book is to address the interests of a broad spectrum of practitioners, students, and researchers, who are interested in applying machine learning and cognitive science methods in their respective domains.

This book features selected papers presented at the 4th International Conference on Recent Innovations in Computing (ICRIC 2021), held on May 8–9, 2021, at the Central University of Jammu, India, and organized by the university’s Department of Computer Science and Information Technology. The book is divided into two volumes, and it includes the latest research in the areas of software engineering, cloud computing, computer networks and Internet technologies, artificial intelligence, information security, database and distributed computing, and digital India.

Breakthroughs in nanotechnology have been coming at a rapid pace over the past few years. This was fueled by significant worldwide investments by governments and industry. But if these promising young technologies cannot begin to show commercial viability soon, that funding is in danger of disappearing as investors lose their appetites and the economic and scientific promise of nanotechnology may not be realized. Scrutinizing the barriers to commercial scale-up of nanotechnologies, the Nanomanufacturing Handbook presents a broad survey of the research being done to bring nanotechnology out of the laboratory and into the factory. Current research into nanotechnology focuses on the underlying science, but as this forward-looking handbook points out, the immediate need is for research into scale-up, process robustness, and system integration issues. Taking that message to heart, this book collects cutting-edge research from top experts who examine such topics as surface-programmed assembly, fabrication and applications of single-walled carbon nanotubes (SWNTs) including nanoelectronics, manufacturing nanoelectrical contacts, room-temperature nanoimprint and nanocontact technologies, nanocontacts and switch reliability, defects and surface preparation, and other innovative, application-driven initiatives. In addition to these technical issues, the author provides a survey of the current state of nanomanufacturing in the United States—the first of its kind—and coverage also reaches into patenting nanotechnologies as well as regulatory and societal issues. With timely, authoritative coverage accompanied by numerous illustrations, the Nanomanufacturing Handbook clarifies the current challenges facing industrial-scale nanotechnologies and outlines advanced tools and strategies that will help overcome them.

This book provides a complete picture of several decision support tools for predictive maintenance. These include embedding early anomaly/fault detection, diagnosis and reasoning, remaining useful life prediction (fault prognostics), quality prediction and self-reaction, as well as optimization, control and self-healing techniques. It shows recent applications of these techniques within various types of industrial (production/utilities/equipment/plants/smart devices, etc.) systems addressing several challenges in Industry 4.0 and different tasks dealing with Big Data Streams, Internet of Things, specific infrastructures and tools, high system dynamics and non-stationary environments . Applications discussed include production and manufacturing systems, renewable energy production and management, maritime systems, power plants and turbines, conditioning systems, compressor valves, induction motors, flight simulators, railway infrastructures, mobile robots, cyber security and Internet of Things. The contributors go beyond state of the art by placing a specific focus on dynamic systems, where it is of utmost importance to update system and maintenance models on the fly to maintain their predictive power.