- author = "Inacio {de Sousa Adelino da Fonseca}",
- title = "Manutencao de sistemas de geracao de energia renovavel eolica atraves de Redes {IP}",
- title_en = "Maintenance of Renewable Wind Power Generation Systems Through IP Networks",
- school = "Faculdade de Engenharia, Universidade do Porto",
- year = "2010",
- address = "Portugal",
- month = jan,
- keywords = "genetic algorithms, genetic programming, linear genetic programming, geradores eolicos, manutencao, redes IP, series temporais, sistemas embebidos, embedded systems, IP networks, maintenance, time series, wind generators",
-
URL = "
https://hdl.handle.net/10216/57490",
-
URL = "https://repositorio-aberto.up.pt/handle/10216/57490",
-
URL = "
https://repositorio-aberto.up.pt/bitstream/10216/57490/1/000140049.pdf",
- size = "268 pages",
-
abstract = "This dissertation presents work developed in the area
of Conditional Planned Maintenance of Systems for the
Generation of Renewable Energies using IP networks,
with emphasis in WindGeneration. A software/hardware
model and an architecture are proposed, that allow the
implementation of conditional planning maintenance
solutions, using the remote measurement of a set of
control variables. The chosen approach to planned
maintenance, uses Time Series to monitor the evolution
of condition variables such as temperature, pressure,
viscosity and modulus of the frequency spectrum. The
knowledge of these variables allows to follow the
operating state of equipment and anticipate the
following state. In this context, a contribution is
proposed through a modified exponential smoothing
algorithm, in order to make it adaptive. Its
performance has been monitored by the Mackey-Glass
Series and an especially developed Series, which is in
accordance with the expectation for the evolution of
the signals to predict. To determine, at a macroscopic
level, the state of the operating condition of a wind
generator, a SVM classifier was used. This classifier,
after the training phase, determines the malfunction
state according to the values of several measured
variables. In this context, a brief analysis on the
vibrations in induction electric motors was conducted,
with the perspective of establishing an analogy with
the electric generators of wind turbines.
In terms of optimization, a methodology to assist the decision for the sequence of visits to be made by maintenance technicians on the various wind generators is proposed. This methodology takes into account the on-condition maintenance plan previously defined. The proposed optimization method uses genetic algorithms and a specific solution to solve the sequence of visits problem.The organization of the maintenance management of wind farms is structured, integrating a set of developed hardware and software modules, as well as a set of updates and new modules, developed for the SMIT software. The proposed structure including the new modules, allows implementations based on corrective maintenance, planned maintenance and on condition maintenance. A client/server maintenance management system was developed, using open-source software whenever possible. It includes the Linux operating system, the PostgreSQL database engine, and the development tools Octave, R, Apache and PHP. The SMIT client was programmed using Delphi and interacts with the user through the Windows platform.
In terms of hardware, the followed methodology relies on the use of low cost components and devices, to create a data acquisition system over IP networks. The basic idea consists on distributing a master clock to the different field equipments, to ensure the synchronous acquisition at the different data collection points. The SNTP and PTP protocols were used to implement a set of control techniques in order to achieve clock synchronization. The basic structure of the system uses data collecting devices connected through a CAN network. One of the devices, which has CAN and Ethernet connectivity, coveys the acquired information and relays it to the SMIT server. Simultaneously, this master node controls the data acquisition sequence, as well as the clock synchronization with the SMIT server. The integration of the developed hardware and software modules implies the flow of data from the acquisition nodes to the server, which sends time references to the master device, including the reference clock signal. The SMIT server, using algorithms based on Time Series, analyzes the acquired data using the Octave or R platforms, to predict possible failures or dysfunctional states. Based on these predictions, the server can anticipate the generation of the respective alerts, with the emission of the corresponding Working Orders.",
- resumo = "Esta dissertacao desenvolve-se no ambito da Manutencao Planeada Condicionada de Sistemasde Geracao de Energias Renovaveis utilizando redes IP, com enfase na Geracao Eolica. E propostoum modelo desoftware/hardwaree uma arquitectura que permitem a implementacao de solucoesde planeamento de manutencao de condicao, atraves da medicao remota de varias variaveis decontrolo. ...",
-
notes = "In Portuguese
translate.google.co.uk
FEUP oai:digitool.fe.up.pt:227412
Supervisor: Fernando Maciel Barbosa",
