عنوان

Bayesian networks in fault diagnosis :

شابک

9789813271494

شابک

9789813271500

شابک

9813271493

شابک

9813271507

شابک اشتباه

9789813271487

شابک اشتباه

9789813271876

شابک اشتباه

9813271485

شابک اشتباه

9813271876

عنوان اصلي

Bayesian networks in fault diagnosis :

نام عام مواد

[Book]

ساير اطلاعات عنواني

practice and application /

نام نخستين پديدآور

editors, Baoping Cai, Yonghong Liu, Jinqui Hu, Zengkai Liu, Shengnan Wu, Renjie Ji.

محل نشرو پخش و غیره

Hackensack, NJ :

نام ناشر، پخش کننده و غيره

World Scientific Publishing Co. Pte. Ltd.,

تاریخ نشرو بخش و غیره

[2019]

نام خاص و کميت اثر

1 online resource

متن يادداشت

Includes bibliographical references and index.

متن يادداشت

Intro; Contents; Preface; 1. Fault Diagnosis; 1.1 Introduction; 1.2 Overview of BNs; 1.3 Procedures of Fault Diagnosis with BNs; 1.3.1. BN structure modeling; 1.3.2. BN parameter modeling; 1.3.3. BN inference; 1.3.4. Fault identification; 1.3.5. Verification and validation; 1.4. Types of BNs for Fault Diagnosis; 1.4.1. BN for fault diagnosis; 1.4.2. DBNs for fault diagnosis; 1.4.3. OOBNs for fault diagnosis; 1.4.4. Other BNs for fault diagnosis; 1.5 Domains of Fault Diagnosis with BNs; 1.5.1. Fault diagnosis for process systems; 1.5.2. Fault diagnosis for energy systems.

متن يادداشت

1.5.3. Fault diagnosis for structural systems; 1.5.4. Fault diagnosis for manufacturing systems; 1.5.5. Fault diagnosis for network systems; 1.6 Discussions and Research Directions; 1.6.1. Integrated big data and BN fault diagnosis methodology; 1.6.2. BN-based nonpermanent fault diagnosis; 1.6.3. Fast inference algorithms of BNs for online fault diagnosis; 1.6.4. BNs for closed-loop control system fault diagnosis; 1.6.5. Fault identification rules; 1.6.6. Hybrid fault diagnosis approaches; 1.7 Conclusion; References.

متن يادداشت

2. Multi-Source Information Fusion-Based Fault Diagnosis of Ground-Source Heat Pump Using Bayesian Network; 2.1 Introduction; 2.2 Faults and Fault Symptoms; 2.3 Fault Diagnosis Methodology; 2.3.1. Fault diagnosis based on sensor data; 2.3.1.1. BN structure; 2.3.1.2. BN parameters; 2.3.2. Fault diagnosis based on observed information; 2.3.2.1. BN structure; 2.3.2.2. BN parameters; 2.3.3. Multi-source information fusion-based fault diagnosis; 2.4. Results and Discussion; 2.4.1. Fault diagnosis using evidences from only sensor data.

متن يادداشت

2.4.2. Fault diagnosis using evidences from sensor data and observed information; 2.5. Conclusion; References; 3. A Data-Driven Fault Diagnosis Methodology in Three-Phase Inverters for PMSM Drive Systems; 3.1. Introduction; 3.2. System Description and Fault Analysis; 3.3. Fault Diagnosis Methodology; 3.3.1. Proposed fault diagnosis methodology; 3.3.2. Signal feature extraction using FFT; 3.3.3. Dimensionality reduction using PCA; 3.3.4. Fault diagnosis using BNs; 3.4. Developments and Validations; 3.4.1. Simulation and experimental setup; 3.4.2. Results; 3.5. Conclusion; References.

متن يادداشت

4. A Real-Time Fault Diagnosis Methodology of Complex Systems Using Object-Oriented Bayesian Networks; 4.1. Introduction; 4.2. A Proposed Modeling Methodology; 4.2.1. Overview of OOBNs; 4.2.2. Modeling methodology; 4.2.3. Structure of OOBNs; 4.2.4. Parameter of OOBNs; 4.2.5. Model validation; 4.2.6. Fault diagnosis and verification; 4.3. Case Study; 4.3.1. Description of subsea production system; 4.3.2. Fault diagnosis modeling; 4.3.3. Results and discussion; 4.4. Conclusion; References.

متن يادداشت

5. A Dynamic Bayesian Network-Based Fault Diagnosis Methodology Considering Transient and Intermittent Faults.

بدون عنوان

0

بدون عنوان

8

بدون عنوان

8

بدون عنوان

8

بدون عنوان

8

بدون عنوان

8

متن يادداشت

"Fault diagnosis is useful for technicians to detect, isolate, identify faults, and troubleshoot. Bayesian network (BN) is a probabilistic graphical model that effectively deals with various uncertainty problems. This model is increasingly utilized in fault diagnosis. This unique compendium presents bibliographical review on the use of BNs in fault diagnosis in the last decades with focus on engineering systems. Subsequently, eleven important issues in BN-based fault diagnosis methodology, such as BN structure modeling, BN parameter modeling, BN inference, fault identification, validation, and verification are discussed in various cases. Researchers, professionals, academics and graduate students will better understand the theory and application, and benefit those who are keen to develop real BN-based fault diagnosis system."--

عنوان

Bayesian networks in fault diagnosis.

شماره استاندارد بين المللي کتاب و موسيقي

9789813271487

موضوع مستند نشده

Bayesian statistical decision theory.

موضوع مستند نشده

Fault location (Engineering)

موضوع مستند نشده

Bayesian statistical decision theory.

موضوع مستند نشده

Fault location (Engineering)

موضوع مستند نشده

MATHEMATICS-- Applied.

موضوع مستند نشده

MATHEMATICS-- Probability & Statistics-- General.

موضوع مستند نشده

MAT-- 003000

موضوع مستند نشده

MAT-- 029000

شماره

ويراست

شماره رده

مستند نام اشخاص تاييد نشده

Baoping, Cai

مستند نام اشخاص تاييد نشده

Hu, Jinqiu

مستند نام اشخاص تاييد نشده

Ji, Renjie

مستند نام اشخاص تاييد نشده

Liu, Yonghong

مستند نام اشخاص تاييد نشده

Wu, Shengnan

تاريخ عمليات

20200823231944.0

قواعد فهرست نويسي ( بخش توصيفي )

pn

نام الکترونيکي

نوع ماده

[Book]

تكميل شده

Y