Knowledge Based FO-LAN Design Environment For The Health Monitoring And Control Of Space Systems

1989 ◽  
Author(s):  
A. Choudry
Keyword(s):  
Health Monitoring ◽  
Space Systems ◽  
Monitoring And Control ◽  
Design Environment ◽  
Knowledge Based ◽  
And Control

Development of an Ontology for an Industrial Domain

2011 ◽  
pp. 277-291 ◽  
Author(s):  
Christine W. Chan
Keyword(s):  
Natural Gas ◽  
Software Agents ◽  
Gas Pipeline ◽  
Monitoring And Control ◽  
Knowledge Modeling ◽  
Ontology Construction ◽  
Natural Gas Pipeline ◽  
Knowledge Based ◽  
Application Ontology ◽  
And Control

This chapter presents a method for ontology construction and its application in developing ontology in the domain of natural gas pipeline operations. Both the method as well as the application ontology developed, contribute to the infrastructure of Semantic Web that provides semantic foundation for supporting information processing by autonomous software agents. This chapter presents the processes of knowledge acquisition and ontology construction for developing a knowledge-based decision support system for monitoring and control of natural gas pipeline operations. Knowledge on the problem domain was acquired and analyzed using the Inferential Modeling Technique, then the analyzed knowledge was organized into an application ontology and represented in the Knowledge Modeling System. Since ontology is an explicit specification of a conceptualization that provides a comprehensive foundation specification of knowledge in a domain, it provides semantic clarifications for autonomous software agents that process information on the Internet.

scholarly journals Process Disturbances in Agricultural Biogas Production—Causes, Mechanisms and Effects on the Biogas Microbiome: A Review

Energies ◽  
2019 ◽  
Vol 12 (3) ◽  
pp. 365 ◽  
Author(s):  
Susanne Theuerl ◽  
Johanna Klang ◽  
Annette Prochnow
Keyword(s):  
Environmental Performance ◽  
Biogas Production ◽  
Efficient Production ◽  
Monitoring And Control ◽  
Crucial Importance ◽  
Knowledge Based ◽  
Complex Process ◽  
Process Monitoring And Control ◽  
Process Disturbances ◽  
And Control

Disturbances of the anaerobic digestion process reduce the economic and environmental performance of biogas systems. A better understanding of the highly complex process is of crucial importance in order to avoid disturbances. This review defines process disturbances as significant changes in the functionality within the microbial community leading to unacceptable and severe decreases in biogas production and requiring an active counteraction to be overcome. The main types of process disturbances in agricultural biogas production are classified as unfavorable process temperatures, fluctuations in the availability of macro- and micronutrients (feedstock variability), overload of the microbial degradation potential, process-related accumulation of inhibiting metabolites such as hydrogen (H2), ammonium/ammonia (NH4+/NH3) or hydrogen sulphide (H2S) and inhibition by other organic and inorganic toxicants. Causes, mechanisms and effects on the biogas microbiome are discussed. The need for a knowledge-based microbiome management to ensure a stable and efficient production of biogas with low susceptibility to disturbances is derived and an outlook on potential future process monitoring and control by means of microbial indicators is provided.

Enhancing the Resiliency of Smart Grid Monitoring and Control

2018 ◽  
pp. 3056-3065
Author(s):  
Wenbing Zhao
Keyword(s):  
Fault Tolerance ◽  
Electric Power ◽  
Health Monitoring ◽  
Power Grid ◽  
Byzantine Fault Tolerance ◽  
Monitoring And Control ◽  
Byzantine Fault ◽  
Electric Power Grid ◽  
Grid Monitoring ◽  
And Control

In this chapter, we present the justification and a feasibility study of applying the Byzantine fault tolerance (BFT) technology to electric power grid health monitoring. We propose a set of BFT mechanisms needed to handle the PMU data reporting and control commands issuing to the IEDs. We report an empirical study to assess the feasibility of using the BFT technology for reliable and secure electric power grid health monitoring and control. We show that under the LAN environment, the overhead and jitter introduced by the BFT mechanisms are negligible, and consequently, Byzantine fault tolerance could readily be used to improve the security and reliability of electric power grid monitoring and control while meeting the stringent real-time communication requirement for SCADA operations.

Combining Health Monitoring and Control

2013 ◽  
pp. 230-255
Author(s):  
Teresa Escobet ◽  
Joseba Quevedo ◽  
Vicenç Puig ◽  
Fatiha Nejjari
Keyword(s):  
Health Monitoring ◽  
Fault Tolerant ◽  
Operating Conditions ◽  
Monitoring And Control ◽  
New Paradigm ◽  
System Health Monitoring ◽  
On Line ◽  
And Control ◽  
System Characteristics ◽  
Feature System

This chapter proposes the combination of system health monitoring with control and prognosis creating a new paradigm, the health-aware control (HAC) of systems. In this paradigm, the information provided by the prognosis module about the component system health should allow the modification of the controller such that the control objectives will consider the system’s health. In this way, the control actions will be generated to fulfill the control objectives, and, at the same time, to extend the life of the system components. HAC control, contrarily to fault-tolerant control (FTC), adjusts the controller even when the system is still in a non-faulty situation. The prognosis module, with the main feature system characteristics provided by condition monitoring, will estimate on-line the component aging for the specific operating conditions. In the non-faulty situation, the control efforts are distributed to the system based on the proposed health indicator. An example is used throughout the chapter to illustrate the ideas and concepts introduced.

On-Board Characterization of Engine Dynamics for Health Monitoring and Control

2005 ◽  
Author(s):  
Onder Uluyol ◽  
Kyusung Kim ◽  
Charles Ball
Keyword(s):  
Feature Extraction ◽  
Health Monitoring ◽  
High Speed ◽  
Monitoring And Control ◽  
Mechanical Assembly ◽  
Time Data ◽  
Feature Extraction Method ◽  
Limited Bandwidth ◽  
And Control

This paper introduces a feature extraction method for characterization of gas turbine engine dynamics for the purpose of engine health monitoring as well as optimum control. For a vehicle health monitoring system that is comprehensive in its scope, and timely and accurate in its diagnosis, high fidelity engine models and a large amount of high-speed data both in steady-state as well as in transients are needed. However, limited computational resources available on-board, and the limited bandwidth capacity and the high cost of real-time data transmission place serious barriers in fulfilling that need. The approach presented in the paper seeks to overcome these barriers by separating the initial feature extraction stage of diagnostics algorithms from the modeling and trending stages. The first part which includes the detection of time instances that are critical to diagnosis and control is performed on board, while the latter is performed on a ground station. The approach is applied to the startup transient in a propulsion engine. A 50-fold reduction in data size is realized while achieving a highly accurate prognosis of hydro-mechanical assembly (HMA) failures.

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