| 1. |
- Kumar, Saurabh, et al.
(författare)
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Online condition monitoring of engine oil
- 2005
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Ingår i: Industrial Lubrication and Tribology. - : Emerald. - 0036-8792 .- 1758-5775. ; 57:6, s. 260-267
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Tidskriftsartikel (refereegranskat)abstract
- Purpose – Engine oil degrades in quality during its use and after certain period of time the oil needs to be changed depending upon its condition. The purpose of this paper is to design and develop an online condition monitoring device for engine oil. Design/methodology/approach – Based on the previous works in this line and some testing of used oils in the laboratory, the correlation of change in colour with other properties were identified. An optical colour sensor was then designed and developed which can transform the darkness of oil colour into electrical resistance. A series of tests were undertaken to calibrate the system for its correctness. Findings – This type of sensor provides the information about the condition of the oil and also can inform about the probable time for drain-off of the oil. Practical implications – Engine oil changes are normally done by schedules which are highly conservative and cost the user as the oil is changed when it could be still used for some time. Use of an online sensor will minimize the cost on lubricants to some extent. Originality/value – The device is of great value to the users of IC engines as it not only reduces the cost on lubricants but also informs the user about the present condition of the oil.
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| 2. |
- Kolsch, A., et al.
(författare)
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Recognizing challenging handwritten annotations with fully convolutional networks
- 2018
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Ingår i: Proceedings of International Conference on Frontiers in Handwriting Recognition, ICFHR 2018. - : IEEE. - 9781538658758 ; , s. 25-31
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Konferensbidrag (refereegranskat)abstract
- This paper introduces a very challenging dataset of historic German documents and evaluates Fully Convolutional Neural Network (FCNN) based methods to locate handwritten annotations of any kind in these documents. The handwritten annotations can appear in form of underlines and text by using various writing instruments, e.g., the use of pencils makes the data more challenging. We train and evaluate various end-to-end semantic segmentation approaches and report the results. The task is to classify the pixels of documents into two classes: Background and handwritten annotation. The best model achieves a mean Intersection over Union (IOU) score of 95.6% on the test documents of the presented dataset. We also present a comparison of different strategies used for data augmentation and training on our presented dataset. For evaluation, we use the Layout Analysis Evaluator for the ICDAR 2017 Competition on Layout Analysis for Challenging Medieval Manuscripts.
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| 3. |
- Kumar, Saurabh, et al.
(författare)
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Additives depletion and engine oil condition : a case study
- 2005
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Ingår i: Industrial Lubrication and Tribology. - : Emerald. - 0036-8792 .- 1758-5775. ; 57:2, s. 69-72
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Tidskriftsartikel (refereegranskat)abstract
- To study and estimate changes of various properties upon use of engine oil by different methods.Design/methodology/approach – By viscosity measurement, pH measurement, Fourier transform infra‐red spectroscopic analysis and UV‐Visible (Ultraviolet and visible rays) spectroscopic analysis.Findings – Some specific changes in additives of the oil upon use could be traced.Practical implications – Correct choice for additives for a particular use may enhance the oil life and also protect the engine from damage.Originality/value – The findings may be important to the lube oil producers and the users.
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