International Journal of COMADEM <div class="additional_content"> <div class="entry-content"> <p>This peer-reviewed internationally acclaimed professional-cum-learned journal was launched in 1998 to meet the needs of the global condition monitoring community. The International editorial board consists of prominent academics, consultants, engineers, scientists, technologists and management specialists representing a wide sector of the economy. This leading edge technology management journal is interdisciplinary based and is totally dedicated to:</p> <ul> <li class="show">Industrial Asset Management</li> <li class="show">Advances in Maintenance Engineering and Management</li> <li class="show">Standardization</li> <li class="show">Industrial Case Studies</li> <li class="show">Integrated Vehicle Health Management</li> <li class="show">Advances in Systems Failure Diagnosis and Prognosis</li> <li class="show">Big Data Management</li> <li class="show">Advanced Sensor Technology</li> <li class="show">Health &amp; Safety</li> <li class="show">Intelligent Manufacturing</li> <li class="show">Risk Management</li> <li class="show">Technology Management</li> <li class="show">Industrial Logistics</li> <li class="show">Industrial Tribology</li> <li class="show">Bio-medical Engineering</li> <li class="show">Structural health Monitoring</li> <li class="show">Advanced Signal Processing</li> <li class="show">Machinery/Process Health Monitoring</li> <li class="show">Environmental Management</li> <li class="show">RCM</li> <li class="show">TQM</li> </ul> </div> </div> <p>The Journal covers peer-reviewed technical papers, industrial case studies, best practice tutorials, critical overviews, technical literature abstracts, latest news, conferences proceedings, book reviews, etc.</p> <p>This journal is distributed worldwide. It is indexed in INSPEC, Shock &amp; Vibration Digest, Current Contents, NASA Center for Aerospace Information, British Library etc.</p> Comadem International en-US International Journal of COMADEM 1363-7681 <p>Author(s) by submitting the manuscript to the International Journal of COMADEM agree to transfer the rights to COMADEM International UK with some exceptions as described in <a href="copyrights">COPYRIGHT TRANSFER AGREEMENT</a> available <a href="copyrights">here</a>.</p> The Determination of the Influences of Operation Environment on the Reliability of Oil and Gas Turbine in Arctic Area <p>Oil and gas activities in the northern part of Norway will be intensified. However, the reliability of the facilities in this region is unclear, as so far there are few oil and gas activities there. In order to investigate the reliability performance of Oil and Gas facilities in the arctic area, this paper collects the failure data from turbines, a critical piece of equipment in the oil and gas industry, to compare their reliability for northern and southern locations. The proportional hazard model (PHM) is employed to model the turbine reliability. A least square method is developed to estimate the parameters in the baseline function of the PHM. The evaluation results are significant for the oil exploration plan</p> Johanne Kristine Kjevik Fuqing Yuan Copyright (c) 2019-11-18 2019-11-18 22 4 1 6 Applications of Numerical Simulations in Built Environment <p>Different types of numerical simulations have been in use for the design and performance analysis of built environment for some time. Most of these simulations are based on simplistic models and methods, such as steady-state approach, which strictly limits the reliability of the predicated results. In the present study, Computational Fluid Dynamics (CFD) based solvers have been used to evaluate the design and performance of a range of built environment applications. The solvers used in the present study have been shown to predict the performance of the built environment with reasonable accuracy, using more realistic modelling techniques. It is expected that the use of CFD for performance analysis of built environment will significantly increase as a result of this study.</p> Taimoor Asim Rakesh Mishra Shaun Rodrigues Blaise Nsom Copyright (c) 2019-11-18 2019-11-18 22 4 9 14 Measuring the effect of exposure to the grinding environment using pulmonary functions <p>This study assesses the influence of the grinding environment using pulmonary functions of the grinding operator among industry at Rajkot in India. Pulmonary function tests were performed on 100 grinding operators and compared with the other 100 subjects having no grinding exposure as a control group. During this study various pulmonary functions which shows the capacity/working of lungs like, Ratio of Forced Expiratory volume in 1 second to Forced Vital Capacity (FEV1/FVC), Forced Expiratory Volume in 1 second (FEV1), Forced Vital Capacity (FVC), Peak Expiratory Flow Rate (PEFR) and Peripheral Capillary Oxygen Saturation (SPO2) are examined. The novel use of pulmonary functions as a proxy of secondary measurement is taken as an indicator of sustainable manufacturing as it enhances the safety of the grinding operator. Significant differences were found for FEV1, FVC, FEV1/FVC, and PEFR between grinding operators and control group, which is used to create a benchmark to qualify the manufacturing as sustainable manufacturing. Exposure to the grinding environment had a significant effect on most of the spirometric indices. The study shows 80 grinding operators and 12 subjects of the control group have low pulmonary functions which mean there is a 68% higher chance of reduced lung performance in the grinding operators. This study documents work-related changes in pulmonary functions in the grinding operators and report the drops in these functions without any major external indications on the grinding operators. There was no sign of skin problem, and low SPO2. This method of study is suitable to implement for finding the adverse effect on the operator for another manufacturing process following a similar approach.</p> Jigneshkumar Parmar Chetankumar Patel Ajitkumar Shukla Copyright (c) 2019-11-18 2019-11-18 22 4 15 20 New RBI Tool- ERAS (Equipment Risk Analysis System) <p>Reliability is very important in the Chemical Process Industries (CPI). A faulty piece of equipment can cause costly downtime; therefore RBI (Risk Base Inspection) has been adopted widely by CPI around the work to keep the equipment uptime. Equipment Risk Analysis System (ERAS) is a new RBI tool which developed by Mitsui Chemicals, Inc. “Mitsui Phenols Singapore PTE. LTD.” (MPS) has implemented the sophisticated maintenance method ERAS to secure the safe and stable operation within economically domination since Y2015. As a result, MPS successfully achieved both equipment trouble &amp; maintenance cost reduction through ERAS. ERAS is a tool which built based on RBI. It is applied in plant maintenance system to select the suitable equipment inspection method and decide the best equipment inspection interval. RBI is a long journey which need consume a lot of time and effort to continuously build equipment maintenance history data pool. But ERAS can be applied as routing work to analyze the short period equipment maintenance data through well-established programing.</p> Tetsuro Mitoma Yu Wei Sum Dingzhou Chen Copyright (c) 2019-11-18 2019-11-18 22 4 21 27 Performance improvement of a Circulating Fluidized Bed Boiler through flow modifications in Primary Air Supply System <p>The primary air supply system is a key component of a Circulating Fluidized Bed (CFB) boiler. The uniformity of air flow through the primary air supply system is important for highly efficient operation of the CFB boiler. Non-uniform air flow distribution within the primary air supply system can affect the boiler's combustion adversely, resulting in higher energy consumptions. An effective measure to solve this problem is to install an air flow modifier in the primary air supply system. Thus, extensive numerical investigations have been carried out to design a suitable air flow modifier in order to improve operational efficiency of the CFB boiler. It has been shown that inhomogeneity in the air flow velocity, at a control cross-section of the wind-box, reduces from 65.79% to 21.25% when flow modifier is used. In order to validate the numerical results, visual and velocity distribution uniformity experiments have been conducted under five different test conditions. For this purpose, a small-scale model of a 220t/hr CFB boiler has been used. The experimental results substantiate the numerical predictions. Moreover, the same methodology has been implemented to a full-scale 220t/hr CFB boiler. The hot test results depict that the thermal efficiency of the boiler has increased from 85.71% to 88.34% when tested with an air flow modifier in place, which is equivalent to a saving of 5,000 tons of coal per year. The economic benefits of this energy-saving technology have been shown to be very significant, clearly demonstrating the effectiveness of the air flow modifier.</p> Xiaozhou Liu Guangyu Zhu Yu Zhang Taimoor Asim Rakesh Mishra Copyright (c) 2019-11-18 2019-11-18 22 4 29 43 Intelligent fault diagnosis for low-speed roller bearings based on stacked auto-encoder <p>There is an apparent issue that the bearing vibration signals in low-speed rotating are contaminated with strong noise. It is difficult to extract fault feature and effectively diagnose fault by traditional methods. For solving this problem, an intelligent fault diagnosis method based on stacked auto-encoder (SAE) is proposed to analyse low-speed roller bearing signal, which can effectively capture the representative fault information in signal with strong noise and achieve the advantages of deep architecture-based feature representations. The proposed method includes three successive parts. Firstly, the raw signal is pre- processed through the FFT and divided into training and testing sets for the SAE model. Secondly, the deep hierarchical structure is then established with the rule of greedy training, where the auto-encoders are utilized to obtain high-order characteristics of the training sets with weak fault feature. Thirdly, the testing sets<br>are applied to confirm bearing fault detection of low-speed roller bearing. The proposed method have been verified by low-speed bearing fault signal (10~70/100 RPM), the results show that the proposed method can achieve the high accuracy. Moreover, the comparative experiments with the BPNN and SVM are employed to prove the effectiveness of SAE that is prior to deal with the big data with strong noise and can overcome the dependent with manual selection and profession knowledge. The above experimental results adequately show that the SAE can adaptively extract the fault features in the raw signal with weak feature due to the strong noise and obtain high fault identification accuracy.</p> Hai-hong Tang Zhi-qiang Liao Yusuke Kobayashi Tomita Masaru Peng Chen Copyright (c) 2019-11-18 2019-11-18 22 4 45 50 FPGA implementation of wearable ECG system for detection premature ventricular contraction <p>In recent years, wearable electrocardiogram system (WES) has entered the technology market, allowing physicians to instantaneously know about the patient's condition. Hardware is required for creating a wearable and portable electrocardiogram (ECG) system. Field programmable gate arrays (FPGAs) provide fast test capability and have sufficient flexibility to implement new algorithms.. In this study, with regard to the fact that wearable tools of power consumption, accuracy of detection, and price of chips are significant factors in their performance, premature ventricular contractions (PVC) arrhythmic detection and algorithms of the electrocardiogram are studied by presenting three various algorithms in time domain, frequency and time combination of frequency as well as their implementation on FPGA. For each of the three algorithms in this design, the support vector machine(SVM) and the naive bayes(NB) were used after the ECG signal pre-processing and the extraction of the appropriate features of the two classes and the data were categorized as normal and PVC. Extracting features was conducted by the reconfiguration PAT algorithm in the time domain, the Haar wavelet algorithm in the frequency domain and combining these two algorithms. The desired algorithms were tested by the MIT-BIH database and the system performance is achieved with 99% accuracy using SVM. The best algorithm for a WES was obtained in terms of power, price, detection time, accuracy, and sensitivity of the reconfiguration of PAT algorithm on implementation of SPARTAN6 with a performance of 13.6u.</p> Mohammad hadi Mazidi Mohammad Eshghi Mohammad reza Raoufy Copyright (c) 2019-11-18 2019-11-18 22 4 51 59 Analytical and computational study on imaging of through-thickness cylindrical edge in plate-like quasi-isotropic composite laminates using A0-mode Lamb wave <p>Lamb wave can propagate over distances in composite laminates and has the potential to be used in Nondestructive Testing (NDT). This paper presents the application of the fundamental order anti-symmetric (A0) mode Lamb wave to detect the through-thickness hole defect in the quasi-isotropic composite laminate. The algorithm of this quantitative near-field imaging technique is developed to classify the region of the defect. The proposed method estimates<br>characteristics of the region of interest having somewhat inhomogeneity contrasted to the surrounding area. The method deals with locating the overlapping<br>points of the incident and scattered wave filed at the boundary region of the defect. The overall computational process along with the analytical study is thoroughly described and investigated the outcome through numerical experiments. Generation of the 3D FE geometry, as well as meshing and the dynamic<br>simulation, was solved using LS-DYNA. Three cases are considered with varying diameter of the defect. The numerical result depicts in good agreement with the analytical study. The results exhibit that the discussed method enables locating the edge of the defect in the form of the image.</p> M. Sanaul Rabbi K. Teramoto Md. T. I. Khan Copyright (c) 2019-11-18 2019-11-18 22 4 61 67 Self-Diagnosis, Self-Healing & Self-Management in COMADEM: A Literature Survey <p>There are two types of assets (a) Non-living assets/Physical assets and (b) Living assets. All living assets are innately endowed with the nature’s highly evolved miraculous gift of Self-Diagnosis, Self-Healing and Self-Management processes for survival and sustained prosperity. We create various artefacts from the raw physical assets for continued survival and prosperity. All created assets undergoes various life-cycles and are prone to failure of one type or another. But failure is not an option. Modern assets are increasingly becoming complex, sophisticated and are exposed to severe operational conditions. Maximising reliability, health and safety of all assets should be number one priority for continued survival and prosperity. It is well known that of all the known systems, the biological systems are the most highly evolved natural systems. By trying to mimic the biological systems, scientists have made significant advances in the field of self- diagnosis, self-healing and self-management to minimise failures and to prolong the useful life-cycle of all assets. This paper reflects the broad principles of self-diagnosis, self-healing and self-management and reviews how these strategies are being explored and exploited in the proactive multi-disciplinary field of Condition Monitoring and Diagnostic Engineering Management (COMADEM).</p> B.K.N. Rao Copyright (c) 2019-11-18 2019-11-18 22 4 69 74