Measuring the Return on Investment of Training Modules of Electrical Protection and Uninterruptible Power Supply (UPS) Using the Corrective and AHP Approaches

The main purpose of this study is to calculate the return on investment of two training modules of electrical protection and uninterruptible power supply (UPS) using the corrective approaches applied to the basic model presented in previous research. In this study, first, the effect points of the training were identified using open questionnaires completed by experts. Then, its content validity is ensured by Lawshe, Waltz, and Basel approaches. Data on training costs were extracted through financial documentation and estimates. Details of measures, savings, internal supply, and so on were identified and cited to convert the observed effects into financial equivalents. Using the analytic hierarchy process (AHP) approach, the role of training in comparison with other initiatives in each of the effects and achievements was determined, and the net financial achievements of the training were determined. The training return on investment for the electrical protection module was 243% and for the UPS module was 1637%.

ACTIVE PROTECTION METHOD FOR POWER SUPPLY OF MICROPROCESSOR COMPLEXES OF RAILWAY AUTOMATION AND REMOTE CONTROL

The article discusses the issues of increasing the reliability, safety, and survivability of power supply for railway automation and remote control devices. The authors have analyzed failures in the automation and remote control facilities in recent years, estimated the proportion of device failures due to lightning overvoltages, and highlighted an upward trend in the railway automation and remote control failures due to switching and lightning overvoltages. The design of modern uninterruptible power supply devices is provided with a description of the main structural units. Methods are proposed for the implementation of active protection for power supply of railway automation and remote control by introducing the thunderstorm locating functionality into the technical diagnostics and monitoring system. This solution will enable registration of hazardous thunderstorm activity and maintaining the devices’ serviceability and effi ciency, and will ensure the continuity and safety of the transportation process, which will help reduce damage incurred due to hazardous electromagnetic eff ects, including lightning overvoltages. The article suggests synchronizing the thunderstorm location system with the existing lightning detection networks through the Internet, a global computer network, as well as the option of installing a single-point lightning detector at an electrical interlocking post.

Fusion-Learning of Bayesian Network Models for Fault Diagnostics

Bayesian Network (BN) models are being successfully applied to improve fault diagnosis, which in turn can improve equipment uptime and customer service. Most of these BN models are essentially trained using quantitative data obtained from sensors. However, sensors may not be able to cover all faults and therefore such BN models would be incomplete. Furthermore, many systems have maintenance logs that can serve as qualitative data, potentially containing historic causation information in unstructured natural language replete with technical terms. The motivation of this paper is to leverage all of the data available to improve BN learning. Specifically, we propose a method for fusion-learning of BNs: for quantitative data obtained from sensors, metrology data and qualitative data from maintenance logs, corrective and preventive action reports, and then follow by fusing these two BNs. Furthermore, we propose a human-in-the-loop approach for expert knowledge elicitation of the BN structure aided by logged natural language data instead of relying exclusively on their anecdotal memory. The resulting fused BN model can be expected to provide improved diagnostics as it has a wider fault coverage than the individual BNs. We demonstrate the efficacy of our proposed method using real world data from uninterruptible power supply (UPS) fault diagnostics.

Sistem Pendukung Keputusan Pemilihan Kualitas Produk UPS Terbaik Menggunakan Metode Topsis dan SAW

<p><em>Every electronic device requires a good power supply so it perform functionally needed. Many devices use electrical energy. Starting from a laptop or computer device, TV, AC, refrigerator, cellphone, lights all use electric power. Even in every agency or company requires electrical energy for work activities to be more optimal. UPS</em><em> </em><em>(Uninterruptible Power Supply)</em><em> itself is very useful for protecting electronic devices from blackouts that can occur at any time. This tool stores electrical energy such as battery and re-flows it, so that devices such as computers are not damaged. By using the calculation algorithm method TOPSIS (Technique For Others Reference by Similarity to Ideal Solution) and SAW (Simple Additive Weighting) in making the best UPS quality decisions in terms of quality of goods by considering the quality of weight with the following criteria: Price, Capacity (VA), Capacity (Watts) and Runtime at 60W (min).</em></p>

Investigating Safety Standards and Performance of Emergency Power Diesel Generators in Hospitals of Tabriz, Iran

Background: Power outage risk is one of the serious risks that could be eliminated by supplying electricity through the emergency power system installed in a hospital, such as diesel generators and uninterruptible power supplies (UPSs). Objectives: The present study aimed to investigate the observance of safety and maintenance standards of emergency power diesel generators in the hospitals of Tabriz. Methods: This descriptive-analytical research was cross-sectionally performed in 18 hospitals of Tabriz in 2014. The data collection tools included a questionnaire and a checklist prepared according to the national standards and consisted of 87 questions in 15 categories. Data were analyzed using SPSS version 19. Results: The average rates of observance of safety and maintenance standards of diesel generators in 111-question standards and 87-question standards were equal to 61.4 and 52.8%, respectively. Regarding the observance of the 19 standards, “ventilation” and “daily visits” standards with 28.94 and 96.24, respectively, had the lowest and highest degrees of observance in hospitals. There was a significant direct association between observing the standards defined for diesel generators with the number of hospital beds (P = 0.01) and the total capacity of emergency power generation by generators (P = 0.05). Conclusions: The results of the present study indicate a low level of safety and maintenance for the emergency power systems of hospitals. These scores are not considered favorable for a system called “emergency”, and if the necessary interventions are not made in this regard, in the event of natural disasters and human errors, hospitals will face numerous problems.