FACULTY OF TECHNOLOGY

Permanent URI for this communityhttps://repository.ui.edu.ng/handle/123456789/269

Browse

Author: search.filters.author.Waheed, M. A.

Search Results

Now showing 1 - 5 of 5
  • Thumbnail Image
    Item
    Diagnosis of gasoline-fuelled engine exhaust fume related faults using electronic nose
    (2010) Arulogun, O. T; Waheed, M. A.; Fakolujo, O. A.; Omidora, E. O.; Olaniyi, O. M. O. M.
    Fault diagnosis, isolation and restoration from failure are crucial for maintenance and reliability of equipment. In this paper, a condition monitoring approach that uses the sense of smell was investigated to diagnose ignition and loss of compression faults in gasoline-fuelled engine. An electronic nose based condition monitoring system was used to obtain smell print of the exhaust fumes of an automobile gasoline engine in different normal and faulty operating conditions. The data were analyzed with fuzzy c-means, hybrid principal component analysis and artificial neural network. Fuzzy C- means clustering was used to ascertain the extent to which the smell prints can characterize the selected engine faulty and normal conditions. Silhouette diagrams and silhouette width figures were used to validate the clusters. The faults considered were all correctly classified by hybrid principal component analysis and artificial neural network algorithm with 100% accuracy.
  • Thumbnail Image
    Item
    A framework for electronic nose based condition monitoring and diagnosis of automobile engine faults.
    (Nigeria Computer Society, 2009) Arulogun, O. T; Fakolujo, O. A.; Waheed, M. A.; Omidiora, E. O.; Olaniyi, O. M.
    A framework for condition monitoring approach that uses the sense of smell was investigated to diagnose the faults of plug-not-firing, loss of compression and carburettor faults from the exhaust fumes of gasoline fuelled automobile engine. An electronic nose based condition monitoring hardware and software was developed using the framework to obtain smell prints that correspond to normal operating conditions and various induced abnormal operating conditions. Fuzzy C-means and K means clustering were used as exploratory data visualization tools to ascertain if the obtained smell prints from the developed system could characterize the faults considered. The results of exploratory cluster analysis showed that the obtained smell print could typify the faults considered.
  • Thumbnail Image
    Item
    Assessment of household energy utilization in Ibadan, Southwestern Nigeria
    (Scientific Research, 2012) Waheed, M. A.; Oni, A. O.|; Fadare, D. A.; Sulaiman, M. A.
    Energy and exergy analysis was conducted for a vegetable oil refinery in the Southwest of Nigeria. The plant, powered by two boilers and a 500 kVA generator, refines 100 tonnes of crude palm kernel oil (CPKO) into edible vegetable oil per day. The production system consists of four main group operations: neutralizer, bleacher, filter, and deodorizer. The performance of the plant was evaluated by considering energy and exergy losses of each unit operation of the production process. The energy intensity for processing 100 tonnes of palm kennel oil into edible oil was estimated as 487.04 MJ/tonne with electrical energy accounting for 4.65%, thermal energy, 95.23% and manual energy, 0.12%. The most energy intensive group operation was the deodorizer accounting for 56.26% of the net energy input. The calculated exergy efficiency of the plant is 38.6% with a total exergy loss of 29,919 MJ. Consequently, the exergy analysis revealed that the deodorizer is the most inefficient group operation accounting for 52.41% of the losses in the production processes. Furthermore, a critical look at the different component of the plant revealed that the boilers are the most inefficient units accounting for 69.7% of the overall losses. Other critical points of exergy losses of the plant were also identified. The increase in the total capacity of the plant was suggested in order to reduce the heating load of the boilers. Furthermore, the implementation of appropriate process heat integration can also help to improve the energy efficiency of the system. The suggestion may help the company to reduce its high expenditure on energy and thus improve the profit margin.
  • Thumbnail Image
    Item
    Exergetic analysis of atmospheric distilation plant: a case study of WRPC refinery
    (2010) Fadare, D. A.; Oni, A. O; Waheed, M. A.
    Exergetic analysis of atmospheric distilation plant of Warri Refinery and Petrochemical Company (WRPC) was conducted to evaluate exergy efficiencies and irreversibilities in each unit of the system with aim of identifying potential ares for improvement. The process simulation was carried out using commercial simulator HYSYS 2003. The results of the simulation compared reasonably well with actual plant process parameters with a relative error of 7.22%. The highest irreversibility occured in the main fractionator followed by TPA, IPA, kerosene stripper, BPA, LGO stripper and HGO strippers with their respective values of 80.17, 5.05, 5.01, 0.77, 0.76, 0.42 and 0.12 GJ/h, of processed crude. The main cause of thermodynamic irreversibility in the system was due to uncontrolled mixing of process streams without due consideration of their potential to produce work. Base on the assessment of the system, the stage by stage exergy profile generates ideas about how the improvement can be made in order to reduce irreversibilities in the components. After modification, the exergy efficiencies show an increase of 21.8% for the fractionator, 19.5% in KERO striper, 15.3% in HGO striper and 10.3% in the LGO striper.
  • Thumbnail Image
    Item
    Energy and exergy analyses of malt drink production in Nigeria
    (Elsevier Limited, 2010-12) Fadare, D. A.; Nkpubre, D. O.|.; Oni, A. O; Falana, A.; Waheed, M. A.; Bamiro, O. A
    Energy requirements and exergy inefficiencies for processing of malt drink were estimated for a Nigerian brewery. The process was divided into twenty-one basic unit operations and grouped into four main group operations: silo house, brew house, filter room and packaging house. The energy intensity for processing a batch of 9.8 tonnes brew grains to 562 hl of malt drink was estimated as 261.63 MJ/hl consisting of electrical (41.01%), thermal (58.81%) and manual (0.19%) of the total energy. The most energy intensive group operation was the Packaging House operation, followed by the Brew House operation with energy intensities of 223.19 and 35.94 MJ/hl respectively. The exergy analysis revealed that the packaging house operation was responsible for most of the inefficiency (92.16%) followed by brew house operation (7.17%) and the silo house and filter room operations with less than 1%of the total exergy lost. The most exergy loss took place in the pasteurizer which accounted for 59.75% of the overall system inefficiency. Modification in the pasteurizer and use of spent grains as alternate source of energy in the steam boiler were recommended to improve the energy efficiency of the system.