scholarly journals DEVELOPMENT OF VIBRATION CONDITION MONITORING SYSTEM APPLYING OPTICAL SENSORS FOR GENERATOR WINDING INTEGRITY OF POWER UTILITIES

Author(s):  
Yeon Whan Kim ◽  
Ju-Young Ho ◽  
Young Shin Lee

This paper describes the vibration condition monitoring diagnosis system developed for stator and rotor winding integrity assessment of 100MW class gas turbine generator in combined-cycle thermal power plant. High reliability of windings is one of the most essential prerequisite for generators of power utilities. Assessing the condition of stator winding insulation systems requires objective information from condition monitoring system. In-service monitoring is essential if a power plant is following a condition-based maintenance strategy. Generator damages are caused by the high vibration and the power system instability by secondary impacts of an unannounced plant stop and the life of the generator is decreased. The mechanical vibration in generator is induced by both mechanical and magnetic forces. The vibration condition monitoring system is required for the improved savings of operation and maintenance cost in terms of reliability in power plant.

Energies ◽  
2020 ◽  
Vol 13 (15) ◽  
pp. 3800
Author(s):  
Boris Glavan ◽  
Zlatko Hanić ◽  
Marinko Kovačić ◽  
Mario Vražić

This paper presents an experience in the design and implementation of the condition-monitoring system for the synchronous generators whose primary purpose is to record data for the identification of the capability limits of the P–Q diagram of three generators in hydro power-plant. Paper presents details about the monitoring system, the underlying theory of the identification of the synchronous generator model with a focus on the calculation of the capability limits in the P–Q diagram. Furthermore, a computationally efficient method for the representation of capability limits suitable for the implementation within the industrial automation and control system of the power-plant is described in detail. Finally, the capability diagrams for three generators were implemented in the power-plant supervisory control and data acquisition system (SCADA) system.


Author(s):  
Robert Meissner ◽  
Hendrik Meyer ◽  
Kai Wicke

In order to reduce operating costs and increase the operational stability, the aviation industry is continuously introducing digital technologies to automate the state detection of their assets and derive maintenance decisions. Thus, many industry efforts and research activities have focused on an early state fault detection and the prediction of system failures. Since research has mainly been limited to the calculation of remaining useful lifetimes (RUL) and has neglected the impact on surrounding processes, changes on the objectives of the involved stakeholders, resulting from these technologies, have hardly been addressed in existing work. However, to comprehensibly evaluate the potential of a fault diagnosis and failure prognosis system, including its effects on adjacent maintenance processes, the condition monitoring system’s maturity level needs to be taken into account, expressed for example through the technology’s automation degree or the prognostic horizon (PH) for reliable failure projections. In this paper, we present key features of an automatic condition monitoring architecture for the example of a Tire Pressure Indication System (TPIS). Furthermore, we develop a prescriptive maintenance strategy by modeling the involved stakeholders of aircraft and line maintenance operations with their functional dependencies. Subsequently, we estimate the expected implications for a small aircraft fleet with the introduction of such a monitoring system with various levels of technological maturity. Additionally, we calculate the maintenance cost savings potential for different measurement strategies and compare these results to the current state-of-the-art maintenance approach. To estimate the effects of implementing an automated condition monitoring system, we use a discrete-event, agentbased simulation setup with an exemplary flight schedule and a simulated time span of 30 calendar days. The obtained results allow a comprehensive estimation of the maintenance related implications on airline operation and provide key aspects in the development of an airline’s prescriptive maintenance strategy.


2018 ◽  
Vol 43 (5) ◽  
pp. 539-555 ◽  
Author(s):  
R Moeini ◽  
M Entezami ◽  
M Ratkovac ◽  
P Tricoli ◽  
H Hemida ◽  
...  

The ever-increasing development of wind power plants has raised awareness that an appropriate condition monitoring system is required to achieve high reliability of wind turbines. In order to develop an efficient, accurate and reliable condition monitoring system, the operations of wind turbines need to be fully understood. This article focuses on the online condition monitoring of electrical, mechanical and structural components of a wind turbine to diminish downtime due to maintenance. Failure mechanisms of the most vulnerable parts of wind turbines and their root causes are discussed. State-of-the-art condition monitoring methods of the different parts of wind turbine such as generators, power converters, DC-links, bearings, gearboxes, brake systems and tower structure are reviewed. This article addresses the existing problems in some areas of condition monitoring systems and provides a novel method to overcome these problems. In this article, a comparison between existing condition monitoring techniques is carried out and recommendations on appropriate methods are provided. In the analysis of the technical literature, it is noted that the effect of wind speed variation is not considered for traditional condition monitoring schemes.


ACTA IMEKO ◽  
2020 ◽  
Vol 9 (1) ◽  
pp. 3
Author(s):  
Lorenzo Ciani ◽  
Alessandro Bartolini ◽  
Giulia Guidi ◽  
Gabriele Patrizi

Wind energy is the leading candidate between the renewable energy sources as alternative to burning fossil fuels. A proper and accurate condition monitoring plan is mandatory to ensure high reliability and availability required by energy production systems. This paper proposes a Wireless Mesh Network to implement a widely distributed condition monitoring system for a wind farm. Using different types of sensor, the condition monitoring system evaluates the health state of each turbine. The aim of the work is to propose an architecture able to identify possible incipient failures in the most critical turbine’s components. Using this system, it is possible to guarantee continuity of service minimizing the unplanned maintenance operation due to hidden failure.


Author(s):  
Michael M. Hastings ◽  
Wander Luiz de Oliveira ◽  
Raimundo Jorge Ivo Metzker

The condition monitoring section at the Brazilian power utility CEMIG is implementing an effective condition-based maintenance strategy that ensures the over 40 power plants spread out over a large area operate with minimal downtime and at a minimal maintenance cost. The condition monitoring system needed to fulfil CEMIG’s needs for the larger plants did not exist, so it was decided to integrate several monitoring systems for this purpose. A computerized, permanently installed vibration monitoring system is planned to be integrated to other systems dedicated to specific periodic machine condition monitoring applications (e.g. air gap monitoring, oil analysis, magnetic flux monitoring, partial discharge analysis). This integrated monitoring approach results in a distributed system with a single system technique for alarm handling, and a user interface and database for analysis, diagnosis and fault correlation. The vibration monitoring system will also be extended for importing process data from the existing distributed supervisory and control system for monitoring calculated performance parameters such as efficiency and head. Testing is also under way for investigating the possibility of more effectively monitoring cavitation without purchasing a separate stand-alone system. Several of the larger plants at CEMIG will eventually be remotely monitored this way, but this paper focuses primarily on the monitoring system, strategy and current operating experience at the Nova Ponte hydroelectric power station. Even before integrating the other monitoring systems, the installed condition monitoring section played a large role in ensuring the plant operates safely, cost effectively and with maximum availability. Although the monitoring system is installed at a hydro-electric power station, some examples are briefly given on how the same integrated monitoring system approach could equally be advantageous in detecting and/or diagnosing certain faults within gas turbines and compressors.


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