Upgrading of thethird generation of the Remote Diagnostic Systems for ABB Marine Propulsion Systems

Remote diagnostics has become very popular in marine industry. Diagnostic systems are improved all the time and the newest monitoring systems are constantly taken into operation. Most vessels are, however, rigged up by outmoded facilities, which should be updated. In this work the principles of operating of such a remote diagnostic system as the ABB's third generation remote diagnostic system (RDS) and the newest Propulsion Condition Management System (PCMS) are studied. As a result of the thesis the ways of upgrading the old systems of RDS are presented. Specifically, the work focuses on the establishment of the connection between Advant controller AC-110 from the old system and PCMS server, and in other words how to get Modbus data by OPC server.

EFQM-mallin implementointi osaksi johtamisjärjestelmää

Diplomityön tavoitteena oli tutkia kohdeyrityksen EFQM-mallin ja toimintajärjestelmän yhdistämistä niin, että niistä voitaisiin rakentaa yksi yhtenäinen johtamisjärjestelmä. Tarkoituksena oli rakentaa ratkaisumalli, jonka avulla mainitut mallit saataisiin liitettyä osaksi käytännön johtamis- ja kehittämistyövälineitä. Työ on toimintatutkimus, joka rakentuu erillisistä teoria- ja empiriaosioista. Teoriaosassa käsitellään yritystoiminnan perustekijöitä, johtamista tukevia menetelmiä sekä EFQM-mallia. Soveltavassa osuudessa näiden teoreettisten viitekehysten pohjalta rakennetaan ratkaisu alkuperäisen tavoitteen mukaisesti. Onnistuneen järjestelmien yhdistämisen lähtökohtana on, että yrityksen perustekijät ovat kunnossa. Johdon vahva sitoutuminen projektiin on keskeisessä asemassa, jotta syntyvä järjestelmä saadaan palvelemaan yrityksen tavoitteita. Oikein rakennettuna järjestelmä helpottaa päätöksentekoa sekä toimii vahvana tukena strategiselle ja operatiiviselle johtamiselle.

Kompressoriyksiköiden mekaaninen kunnonhallinta

Kunnossapidon kuluista suurimman osan aiheuttavat koneiden ennakoimattomat rikkoutumiset ja niiden tuomat tuotannonpysäytykset. Kunnossapidon suunnitelmallisuutta ja vikojen ennustettavuutta pyritään parantamaan erilaisin kunnonvalvonnallisin keinoin. Havaitsemalla alkava vikaantuminen ajoissa ja seuraamalla sen kehittymistä luodaan mahdollisuus korjaustoimenpiteiden ja -ajankohdan hallittuun suunnitteluun ja tätä kautta kustannussäästöihin. Tässä työssä on tutkittu kompressoriyksiköiden (kaasuturbiini ja keskipakokompressori) ja niiden apulaitteiden kunnossapidon menetelmiä, niiden hyödynnettävyyttä sekä mahdollisuuksia kehittää mekaanista kunnonhallintaa. Työssä päädyttiin johtopäätökseen, että käytettävien menetelmien hyödynnettävyydessä on kehitettävää. Kunnonvalvonnan ohjeistuksia tarkennettiin vastaamaan tämän päivän tavoitteita. Todettiin myös, että värähtelynvalvontaan perustuva kunnonvalvontajärjestelmä soveltuu hyvin kompressoriyksiköiden kunnonvalvonnan järjestelmäksi. Värähtelynvalvontaan perustuva kunnonvalvontajärjestelmä luo mahdollisuuden turvallisen käyttöajan ennustamiseen. Kunnonvalvonnan kehittämisen ja käyttövarmuuden parantamisen kannalta jatkotutkimuksen tekeminen kompressoriyksiköiden mekaanistenlaitteiden turvallisen käyttöajan ennustamiseksi on perusteltua.

Remote Condition Monitoring and Asset Management in Offshore Power Systems

Condition monitoring systems for physical assets are constantly becoming more and more common in the industrial sector. At the same time an increasing portion of asset monitoring systems are being remotely supported. As global competitors are actively developing solutions for condition monitoring and condition-based maintenance, which it enables, Wärtsilä too feels the pressure to provide customers with more sophisticated condition-based maintenance solutions. The main aim of this thesis study is to consider Wärtsilä remote condition monitoring solutions and how they relate to similar solutions from other suppliers and end customers’ needs, in the context of offshore assets. A theoretical study is also included in the thesis, where the concepts of condition monitoring, condition-based maintenance, maintenance management and physical asset management are introduced.

On the Condition Monitoring of Induction machines

The research of condition monitoring of electric motors has been wide for several decades. The research and development at universities and in industry has provided means for the predictive condition monitoring. Many different devices and systems are developed and are widely used in industry, transportation and in civil engineering. In addition, many methods are developed and reported in scientific arenas in order to improve existing methods for the automatic analysis of faults. The methods, however, are not widely used as a part of condition monitoring systems. The main reasons are, firstly, that many methods are presented in scientific papers but their performance in different conditions is not evaluated, secondly, the methods include parameters that are so case specific that the implementation of a systemusing such methods would be far from straightforward. In this thesis, some of these methods are evaluated theoretically and tested with simulations and with a drive in a laboratory. A new automatic analysis method for the bearing fault detection is introduced. In the first part of this work the generation of the bearing fault originating signal is explained and its influence into the stator current is concerned with qualitative and quantitative estimation. The verification of the feasibility of the stator current measurement as a bearing fault indicatoris experimentally tested with the running 15 kW induction motor. The second part of this work concentrates on the bearing fault analysis using the vibration measurement signal. The performance of the micromachined silicon accelerometer chip in conjunction with the envelope spectrum analysis of the cyclic bearing faultis experimentally tested. Furthermore, different methods for the creation of feature extractors for the bearing fault classification are researched and an automatic fault classifier using multivariate statistical discrimination and fuzzy logic is introduced. It is often important that the on-line condition monitoring system is integrated with the industrial communications infrastructure. Two types of a sensor solutions are tested in the thesis: the first one is a sensor withcalculation capacity for example for the production of the envelope spectra; the other one can collect the measurement data in memory and another device can read the data via field bus. The data communications requirements highly depend onthe type of the sensor solution selected. If the data is already analysed in the sensor the data communications are needed only for the results but in the other case, all measurement data need to be transferred. The complexity of the classification method can be great if the data is analysed at the management level computer, but if the analysis is made in sensor itself, the analyses must be simple due to the restricted calculation and memory capacity.

The effects of congestion in the daily management of a trauma hospital

Today’s healthcare organizations are under constant pressure for change, as hospitals should be able to offer their patients the best possible medical care with limited resources and, at the same time, to retain steady efficiency level in their operation. This is challenging, especially in trauma hospitals, in which the variation in the patient cases and volumes is relatively high. Furthermore, the trauma patient's care requires plenty of resources as most the patients have to be treated as single cases. Occasionally, the sudden increases in demand causes congestion in the operations of the hospital, which in Töölö hospital appears as an increase in the surgery waiting times within the yellow urgency class patients. An increase in the surgery waiting times may cause the diminution of the patient's condition, which also raises the surgery risks. The congestion itself causes overloading of the hospital capacity and staff. The aim of this master’s thesis is to introduce the factors contributing to the trauma process, and to examine the correlation between the different variables and the lengthened surgery waiting times. The results of this study are based on a three-year patient data and different quantitative analysis. Based on the analysis, a daily usable indicator was created in order to support the decision making in the operations management. By using the selected indicator, the effects of congestion can be acknowledged and the corrective action can also be taken more proactively.

Developing asset management in district heating and cooling business in a large energy company

The purpose of this Master´s Thesis is to develop asset management and its practices in case company. District heating and cooling systems operated by case company around Finland, Sweden, Poland and the Baltics form an enormous-sized asset base where some parts are starting to reach their end of life-cycles. Large-sized asset renewal actions are under discussion and maintenance spending is increasing. Financially justified decisions in changing business environment are needed. Asset management is one of the most important concepts for production organization which operates with capital-intensive production assets. Organizations profitability is highly dependent on assets´ performance. Such assets, like district heating and cooling systems, should be utilized as efficiently as possible within their life-cycles but also maintained and renewed optimally. In this qualitative thesis, empirical interview study was conducted to describe the current situation on how the assets are managed in the case company and to examine the readiness to implement a new, risk-based solution. Asset management revealed to be a very well-known concept. From proposed risk-based asset management point of view, several key observations were made. It was seen as a suitable solution, but further development will be needed. Based on the need and findings, several key processes and frameworks were created and also tested with a case study. Assets` condition monitoring should be improved, which would have a positive impact on event probability assessment. Risk acceptance is also a thing to be discussed further. When the evaluation becomes fluent in single investment cases, portfolio-level expansion should be considered and started. As a result, thesis proposes a solution how risk-based asset management could be performed practically in a capital-intensive case company in order to optimize the maintenance spending in a long run. Created practical framework is made universal: similar principles can be applied into multiple cases in case company but also in other energy companies. Risk-based asset management`s benefits could be utilized best in portfolio-level optimization where the capital would be invested to the most important objects from total risk point of view. Eventually, such approach would allow case company to optimize capital spending in a situation where funds are not adequate to cover all the mandatory needs and prioritization between the investment alternatives will truly be needed.

Life cycle management of TVO nuclear power plant

Tämä diplomityö tutkii eri elinkaarihallinnan menetelmiä ja vertaa niitä TVO:n menetelmiin. Lisäksi TVO:n prosessin ongelmakohdat tunnistetaan ja niihin esitetään ratkaisuja. Vertailukohteina toimii ydinvoimateollisuuden lisäksi vesivoima, fossiiliset voimalaitokset sekä paperiteollisuus. Sähkön hinnan jatkaessa laskuaan on elinkaariajattelusta tullut ajankohtaista myös ydinvoimayhtiöille. Ydinvoimalaitoksien pitkän suunnitellun käyttöiän ansiosta laitoksen elinkaaren aikana voi tapahtua useita asioita, jotka vaikuttavat laitoksen investointitarpeisiin. Turvallisen sähköntuotannon varmistamiseksi eri laitososia on joko muokattava tai uusittava. Elinkaariajatteluun kuuluu tehokas laitoksen kunnon valvonta, laitoksen ikääntymiseen vaikuttavien ilmiöiden tunnistaminen, sekä ikääntymistä hillitsevien toimenpiteiden pitkän tähtäimen suunnittelu. Hyvällä ennakkosuunnittelulla pyritään varmistamaan se, että laitoksella voidaan tuottaa sähköä koko sen jäljellä olevan käyttöiän aikana. Kun tarpeiden tunnistus ja suunnittelu tehdään hyvissä ajoin mahdollistetaan myös investointien optimointi. Paras hyöty pyritään saamaan ajoittamalla oikeat investoinnit oikeaan aikaan.