EFFECTS OF MULTIPLE STRESSES ON POWER CABLES AND ENERGY STORAGE DEVICES-A COMPARATIVE STUDY

Multiple stress life tests are becoming increasingly useful in today's industry in order to develop efficient tools to predict performances of electrical systems. In Electrical Engineering domain, the life of a systems or product is developed as a function of single or multiple stresses. The actual mathematical models applied for life analyses are Statistics (Proportional Hazards) based models and Empirical-Statistics models (Arrhenius, Weibull). In this paper was used a life-stress model: Arrhenius- Weibull. In this sense, it was developed a multiple stress analysis in order to identify the effects of multiple stresses on power cables and supercapacitors life distributions. Both analysed electrical systems can be implemented together in different power supply systems from land transportation. The analysis was developed using ALTA software package from ReliaSoft Corporation and the multiple stresses considered where: temperature, humidity, vibrations and on/off cycling operation, only for supercapacitors. The analysis results consist of a proposed comparative model regarding mixed stresses that may occur on power cables/ supercapacitors and how these effects could influence future performances of a supply power system/ energy recovery system. All the obtained data after ALTA application are related to life distributions and plots modeling. The determined plots refers to: PDF plots, Life vs. Stress, Weibull plots, Acceleration factor vs. Stress, Failure rate vs. Time, Standard Deviation vs. Stress.

[1]  E. Helerea,et al.  Enhancing reliability for medium voltage underground power lines , 2011, 2011 7TH INTERNATIONAL SYMPOSIUM ON ADVANCED TOPICS IN ELECTRICAL ENGINEERING (ATEE).

[2]  T. Tanaka,et al.  Aging of polymeric and composite insulating materials. Aspects of interfacial performance in aging , 2002 .

[3]  Sheng-Tsaing Tseng,et al.  Progressive-Stress Accelerated Degradation Test for Highly-Reliable Products , 2010, IEEE Transactions on Reliability.

[4]  K. Iwama,et al.  An evaluation tool for eco-design of electrical products , 1999, Proceedings First International Symposium on Environmentally Conscious Design and Inverse Manufacturing.

[5]  S. Bahadoorsingh,et al.  A Framework Linking Knowledge of Insulation Aging to Asset Management - [Feature Article] , 2008, IEEE Electrical Insulation Magazine.

[6]  Marvin Rausand,et al.  Life Data Analysis , 2008 .

[7]  P. H. Schavemaker,et al.  Electrical Power System Essentials , 2008 .

[8]  B.T. Lanz,et al.  Maximizing Cable Reliability at the Lowest Possible Cost , 2008, Conference Record of the 2008 IEEE International Symposium on Electrical Insulation.

[9]  Hamid Gualous,et al.  Frequency, thermal and voltage supercapacitor characterization and modeling , 2007 .

[10]  Adamantios Mettas,et al.  Modeling and analysis for multiple stress-type accelerated life data , 2000, Annual Reliability and Maintainability Symposium. 2000 Proceedings. International Symposium on Product Quality and Integrity (Cat. No.00CH37055).

[11]  Gian Carlo Montanari,et al.  Progress in electrothermal life modeling of electrical insulation during the last decades , 2002 .

[12]  H. Penrose Simple Time-to-Failure Estimation Techniques for Reliability and Maintenance of Equipment , 2009, IEEE Electrical Insulation Magazine.

[13]  FREQUENCY , 1973 .