Найти книгу: "Kia Spectra"

Kia Spectra – автомобиль малого класса, пятиместный седан, выпускался с 2000 года по 2004 год южнокорейской корпорацией Kia Motors. С 2005 по 2009 годы в России на «ИжАвто» методом промышленной сборки было произведено 104,7 тыс. седанов.

Содержание

Введение

Действия в чрезвычайных ситуациях

• Предупреждение на дороге
• Двигатель перегревается
• Запуск двигателя от внешнего источника
• Замена колеса
• Замена предохранителей
• Буксировка автомобиля

Ежедневные проверки и определение неисправностей Эксплуатация автомобиля в зимний период

Поездка на СТО

Инструкция по эксплуатации

• Основные сведения
• Эксплуатация автомобиля
• Техническое обслуживание

Предостережения и правила техники безопасности при выполнении работ на автомобиле Основные инструменты, измерительные приборы и методы работы с ними

• Базовый комплект необходимых инструментов
• Методы работы с измерительными приборами

Двигатель

• Технические характеристики
• Бензиновые двигатели объемом 1.5 л и 1.8 л
• Приложение к главе

Система питания

• Технические характеристики
• Система питания
• Приложение к главе

Система смазки

• Технические характеристики
• Масло и масляные фильтры
• Замена деталей
• Приложение к главе

Система охлаждения

• Технические характеристики
• Замена охлаждающей жидкости
• Замена элементов
• Приложение к главе

Система впуска и выпуска

• Система впуска
• Система выпуска
• Приложение к главе

Трансмиссия

• Технические характеристики
• Автоматическая 4-ступенчатая коробка передач
• Механическая 5-ступенчатая коробка передач
• Сцепление
• Приложение к главе

Приводные валы

• Технические характеристики
• Приводные валы
• Ступица и поворотный кулак передней оси
• Ступица и цапфа задней оси
• Приложение к главе

Ходовая часть

• Технические характеристики
• Передняя подвеска
• Задняя подвеска
• Колеса и шины
• Приложение к главе

Тормозная система

• Технические характеристики
• Техническое обслуживание тормозов
• Передние, задние тормозные механизмы и педаль тормоза
• Стояночный тормоз
• Приложение к главе

Рулевое управление

• Технические характеристики
• Рулевая колонка
• Рулевой механизм
• Приложение к главе

Кузов

• Технические характеристики
• Экстерьер
• Интерьер
• Бампера
• Сиденья
• Приложение к главе

Система отопления, вентиляции и кондиционирования

• Технические характеристики
• Система кондиционирования
• Система отопления
• Система вентиляции
• Приложение к главе

Пассивная безопасность

• Технические характеристики
• Подушки безопасности
• Ремни безопасности с преднатяжителями
• Приложение к главе

Электрооборудование

• Технические характеристики
• Система зажигания
• Система подзарядки
• Система пуска
• Стеклоочистители и стеклоомыватели
• Приложение к главе

Электросхемы

• Использование схем
• Электросхемы

Толковый словарь

Content

Introduction

Actions in emergency situations

• Warning on the road
• Engine overheats
• Starting the engine from an external source
• Wheel replacement
• Fuse replacement
• Towing a car

Daily checks and troubleshooting Operation of the car in the winter

Trip to the RST

Instruction manual

• Basic information
• Vehicle operation
• Maintenance

Precautions and safety rules when working on a car Basic tools, measuring instruments and methods of working with them

• Basic set of necessary tools
• Methods of working with measuring devices

Engine

• Technical specifications
• Petrol engines in volume of 1.5 l and 1.8 l
• Appendix to chapter

Power system

• Technical specifications
• Power system
• Appendix to chapter

Lubrication system

• Technical specifications
• Oil and oil filters
• Replacing parts
• Appendix to chapter

Cooling system

• Technical specifications
• Replacing coolant
• Replace items
• Appendix to chapter

The intake and exhaust system

• Intake manifold
• Release system
• Appendix to chapter

Transmission

• Technical specifications
• Automatic 4-speed gearbox
• Mechanical 5-speed gearbox
• Clutch
• Appendix to chapter

Power shafts

• Technical specifications
• Drive shafts
• A hub and a rotary fist of a forward axis
• The hub and rear axle journal
• Appendix to chapter

Chassis

• Technical specifications
• Front suspension
• Rear suspension
• Wheels and tires
• Appendix to chapter

Brake system

• Technical specifications
• Brake maintenance
• Front, rear brakes and brake pedal
• Parking brake
• Appendix to chapter

Steering

• Technical specifications
• Steering column
• Steering gear
• Appendix to chapter

Body

• Technical specifications
• Exterior
• Interior
• Bumper
• Seats
• Appendix to chapter

Heating, ventilation and air conditioning system

• Technical specifications
• Air conditioning system
• Heating system
• Ventilation system
• Appendix to chapter

Passive security

• Technical specifications
• Airbags
• Seat belts with retractors
• Appendix to chapter

Electrical equipment

• Technical specifications
• Ignition system
• Charging system
• Starting system
• Windshield wipers and washers
• Appendix to chapter

Electroschemes

• Using schemas
• Electroschemes

Explanatory dictionary

Explores regular structures in graphs and contingency tables by spectral theory and statistical methods This book bridges the gap between graph theory and statistics by giving answers to the demanding questions which arise when statisticians are confronted with large weighted graphs or rectangular arrays. Classical and modern statistical methods applicable to biological, social, communication networks, or microarrays are presented together with the theoretical background and proofs. This book is suitable for a one-semester course for graduate students in data mining, multivariate statistics, or applied graph theory; but by skipping the proofs, the algorithms can also be used by specialists who just want to retrieve information from their data when analysing communication, social, or biological networks. Spectral Clustering and Biclustering: Provides a unified treatment for edge-weighted graphs and contingency tables via methods of multivariate statistical analysis (factoring, clustering, and biclustering). Uses spectral embedding and relaxation to estimate multiway cuts of edge-weighted graphs and bicuts of contingency tables. Goes beyond the expanders by describing the structure of dense graphs with a small spectral gap via the structural eigenvalues and eigen-subspaces of the normalized modularity matrix. Treats graphs like statistical data by combining methods of graph theory and statistics. Establishes a common outline structure for the contents of each algorithm, applicable to networks and microarrays, with unified notions and principles.

Digital Spectral Analysis provides a single source that offers complete coverage of the spectral analysis domain. This self-contained work includes details on advanced topics that are usually presented in scattered sources throughout the literature. The theoretical principles necessary for the understanding of spectral analysis are discussed in the first four chapters: fundamentals, digital signal processing, estimation in spectral analysis, and time-series models. An entire chapter is devoted to the non-parametric methods most widely used in industry. High resolution methods are detailed in a further four chapters: spectral analysis by stationary time series modeling, minimum variance, and subspace-based estimators. Finally, advanced concepts are the core of the last four chapters: spectral analysis of non-stationary random signals, space time adaptive processing: irregularly sampled data processing, particle filtering and tracking of varying sinusoids. Suitable for students, engineers working in industry, and academics at any level, this book provides a rare complete overview of the spectral analysis domain.

The relative motion between the transmitter and the receiver modifies the nonstationarity properties of the transmitted signal. In particular, the almost-cyclostationarity property exhibited by almost all modulated signals adopted in communications, radar, sonar, and telemetry can be transformed into more general kinds of nonstationarity. A proper statistical characterization of the received signal allows for the design of signal processing algorithms for detection, estimation, and classification that significantly outperform algorithms based on classical descriptions of signals.Generalizations of Cyclostationary Signal Processing addresses these issues and includes the following key features: Presents the underlying theoretical framework, accompanied by details of their practical application, for the mathematical models of generalized almost-cyclostationary processes and spectrally correlated processes; two classes of signals finding growing importance in areas such as mobile communications, radar and sonar. Explains second- and higher-order characterization of nonstationary stochastic processes in time and frequency domains. Discusses continuous- and discrete-time estimators of statistical functions of generalized almost-cyclostationary processes and spectrally correlated processes. Provides analysis of mean-square consistency and asymptotic Normality of statistical function estimators. Offers extensive analysis of Doppler channels owing to the relative motion between transmitter and receiver and/or surrounding scatterers. Performs signal analysis using both the classical stochastic-process approach and the functional approach, where statistical functions are built starting from a single function of time.