Ye Yuan

This book unifies existing and emerging concepts concerning state estimation, fault detection, fault isolation and fault estimation on industrial systems with an emphasis on a variety of network-induced phenomena, fault diagnosis and remaining useful life for industrial equipment. It covers state estimation/monitor, fault diagnosis and remaining useful life prediction by drawing on the conventional theories of systems science, signal processing and machine learning. Features: Unifies existing and emerging concepts concerning robust filtering and fault diagnosis with an emphasis on a variety of network-induced complexities. Explains theories, techniques, and applications of state estimation as well as fault diagnosis from an engineering-oriented perspective. Provides a series of latest results in robust/stochastic filtering, multidate sample, and time-varying system. Captures diagnosis (fault detection, fault isolation and fault estimation) for time-varying multi-rate systems. Includes simulation examples in each chapter to reflect the engineering practice. This book aims at graduate students, professionals and researchers in control science and application, system analysis, artificial intelligence, and fault diagnosis.

This book unifies existing and emerging concepts concerning state estimation, fault detection, fault isolation and fault estimation on industrial systems with an emphasis on a variety of network-induced phenomena, fault diagnosis and remaining useful life for industrial equipment. It covers state estimation/monitor, fault diagnosis and remaining useful life prediction by drawing on the conventional theories of systems science, signal processing and machine learning. Features: Unifies existing and emerging concepts concerning robust filtering and fault diagnosis with an emphasis on a variety of network-induced complexities. Explains theories, techniques, and applications of state estimation as well as fault diagnosis from an engineering-oriented perspective. Provides a series of latest results in robust/stochastic filtering, multidate sample, and time-varying system. Captures diagnosis (fault detection, fault isolation and fault estimation) for time-varying multi-rate systems. Includes simulation examples in each chapter to reflect the engineering practice. This book aims at graduate students, professionals and researchers in control science and application, system analysis, artificial intelligence, and fault diagnosis.

Latent factor analysis models are an effective type of machine learning model for addressing high-dimensional and sparse matrices, which are encountered in many big-data-related industrial applications. The performance of a latent factor analysis model relies heavily on appropriate hyper-parameters. However, most hyper-parameters are data-dependent, and using grid-search to tune these hyper-parameters is truly laborious and expensive in computational terms. Hence, how to achieve efficient hyper-parameter adaptation for latent factor analysis models has become a significant question. This is the first book to focus on how particle swarm optimization can be incorporated into latent factor analysis for efficient hyper-parameter adaptation, an approach that offers high scalability in real-world industrial applications. The book will help students, researchers and engineers fully understand the basic methodologies of hyper-parameter adaptation via particle swarm optimization in latent factor analysis models. Further, it will enable them to conduct extensive research and experiments on the real-world applications of the content discussed.

HTML极简教程终于要出版了，其实本书初稿在2019年就写好了。 当时读起来认为不够简单，因此从那个时候起就一直在精简。 HTML本身就不复杂，从简单入手，先快速了解HTML创建的网页结构再结合后续的课程CSS, JavaScript, HTML5来深入学习。 我写的书不是从HTML标签入手，而是简化为最常见的网页结构和的网页组成，这样便于理解。 这本书是我写的全栈开发教材的第一本书，希望大家喜欢，并提出您宝贵的意见，谢谢您的支持。

Applications in Agricultural and Biomedical Research.

Discover the subject of optimization in a new light with this modern and unique treatment. Includes a thorough exposition of applications and algorithms in sufficient detail for practical use, while providing you with all the necessary background in a self-contained manner. Features a deeper consideration of optimal control, global optimization, optimization under uncertainty, multiobjective optimization, mixed-integer programming and model predictive control. Presents a complete coverage of formulations and instances in modelling where optimization can be applied for quantitative decision-making. As a thorough grounding to the subject, covering everything from basic to advanced concepts and addressing real-life problems faced by modern industry, this is a perfect tool for advanced undergraduate and graduate courses in chemical and biochemical engineering.

This book focuses on pulverized coal particle devolatilization, ignition, alkali metal release behavior, and burnout temperature using several novel optic diagnostic methods on a Hencken multi-flat flame burner. Firstly, it presents a novel multi-filter technique to detect the CH* signal during coal ignition, which can be used to characterize the volatile release and reaction process. It then offers observations on the prevalent transition from heterogeneous ignition to hetero-homogeneous ignition due to ambient temperature based on visible light signal diagnostics. By utilizing the gap between the excitation energies of the gas and particle phases, a new low-intensity laser-induced breakdown spectroscopy (PS-LIBS) is developed to identify the presence of sodium in the particle or gas phase along the combustion process. For the first time, the in-situ verification of the gas phase Na release accompanying coal devolatilization is fulfilled when the ambient temperature is high enough. In fact, particle temperature plays a vital role in the coal burnout process and ash particle formation. The last part of the book uses RGB color pyrometry and the CBK model to study the char particle temperature on a Hencken burner. It offers readers valuable information on the technique of coal ignition and combustion diagnostics as well as coal combustion characteristics.

这是一部反映外来打工妹在上海日资企业打工和恋爱的故事。女主人公吕菲为了心中的文学梦，从遥远的北方一家国企银行辞职来到她心中向往已久的大上海，她应聘进了一家日本公司做对日贸易。她在工作中结识了刘兰兰、张妮、秋红和吴迪四个外来打工妹，她们五姐妹在工作中结下了深厚的友谊，但五姐妹却经历了不同的命运安排。来自安徽的张妮因为长相难看，她处处遭到公司同事的白眼和挖苦，她用辛辛苦苦打工挣来的钱去美容医院整容，结果整容失败，上班遭到大组长孙颖的嘲讽和挖苦，她自尊心受到严重打击而选择了割腕自杀。来自贵州的吴迪,因长得尖嘴猴腮，瘦弱娇小，人送外号小老鼠。她相处了一个上海男孩，遭到男孩母亲的反对，俩人最后无奈分手，吴迪伤心欲绝辞职返回老家。来自安徽的秋红，因和日本客户发生了婚外恋情，被老公发现后无情抛弃，赶出家门，最后到夜总会做了三陪小姐。来自青岛的刘兰兰，因为青春貌美，业绩突出，工资拿的比孙颖还高，遭到孙颖的嫉妒和打击报复，以莫需有的罪名把刘兰兰开除出公司。来自北方的吕菲因为业绩优秀,，也受到孙颖的嫉妒和打击，她利用手中批卡的权利，刁难吕菲的客户，让吕菲客户流失，吕菲的客户被上海小女孩挖走，面对着不公平的竞争，吕菲也奋起反抗，结果吕菲也遭到孙颖的打击报复，吕菲依然顽强乐观的坚持工作，一年半以后，吕菲在公司找到自己心仪的白马王子,在上海成家立业,实现了上海梦。孙颖是一个攻于心计，会留须拍马老谋深算的一个50岁的上海女人，她赢得东京老板娘的信任，把年轻美丽又能干的麦婵业务经理排挤走，她顺利坐上了业务经理的位置，上任以后,她开始专横拔扈,把家里亲属都安排进公司,形成自己的势力范围,对外来打工妹歧视打击，而心狠手辣的日本老板娘,为了让员工少拿奖金，不断朝令夕改奖金制度,员工怨声载道......