References

  1. C. Gimenez, V. Sierra, J. Rodon, Sustainable operations: their impact on the triple bottom line, Int. J. Prod. Econ., 140 (2012) 149–159.
  2. M. Shahidehpour, R. Ferrero, Time management for assets: chronological strategies for power system asset management, IEEE Power Energy Mag., 3 (2005) 32–38.
  3. H. Alegre, M. do Céu Almeida, Strategic Asset Management of Water Supply and Wastewater Infrastructures, IWA Publishing, London, UK, 2009, pp. 26–41.
  4. D.J. Vanier, Asset management: “A” to “Z”, NRCC/CPWA/ IPWEA Seminar Series “Innovations in Urban Infrastructure”, Philadelphia, USA, 2001.
  5. E. Richard. Brown, J.H. Spare, Asset Management, Risk, and Distribution System Planning, Power Systems Conference and Exposition IEEE PES, New York, USA, 2004.
  6. R.E. Brown, E. Richard, Aging Distribution Infrastructure at Pacific Gas and Electric, Pacific and Electric Company, San Francisco, 2005.
  7. H. Kim, J.G. Im, S.R. An, It is time to take an interest in asset management of infrastructure, J. Korean Soc. Civil Eng., 62 (2014) 10–19.
  8. S. Park, S.I. Park, S.H. Lee, Strategy on sustainable infrastructure asset management: focus on Korea’s future policy directivity, Renew. Sustain. Energy Rev., 62 (2016) 710–722.
  9. J.S. Taylor, L. Mulford, S.J. Duranceau, Cost and performance of a membrane pilot plant, J. AWWA, 81 (1989) 52–60.
  10. T. Asano et al., Water reuse: issues, technologies, and applications, McGraw Hill, New York, USA, 2006.
  11. G. Owen, M. Bandi, J.A. Howell, S.J. Churchouse, Economic assessment of membrane processes for water and waste water treatment, J. Membr. Sci., 102 (1995) 77–91.
  12. B. Van der Bruggen, M. Mänttäri, M. Nyström, Drawbacks of applying nanofiltration and how to avoid them: a review, Sep. Purif. Technol., 63 (2008) 251–263.
  13. Z. Wang, J. Ma, C.Y. Tang, K. Kimura, Q. Wang, Membrane cleaning in membrane bioreactors: a review, J. Membr. Sci., 468 (2014) 276–307.
  14. Z. Wang, Z. Wu, X. Yin, L. Tian, Membrane fouling in a submerged membrane bioreactor (MBR) under sub-critical flux operation: membrane foulant and gel layer characterization, J. Membr. Sci., 325 (2008) 238–244.
  15. D. Kuzmenko, E. Arkhangelsky, S. Belfer, V. Freger, V. Gitis, Chemical cleaning of UF membranes fouled by BSA, Desalination, 179 (2005) 323–333.
  16. S.J. Judd, P. Hillis, Optimisation of combined coagulation and microfiltration for water treatment, Water Res., 35 (2001) 2895–2904.
  17. S. Yao, M. Costello, A.G. Fane, J.M. Pope, Non-invasive observation of flow profiles and polarisation layers in hollow fibre membrane filtration modules using NMR micro-imaging, J. Membr. Sci., 99 (1995) 207–216.
  18. L. Martinelli, C. Guigui, A. Line, Characterisation of hydrodynamics induced by air injection related to membrane fouling behaviour, Desalination, 250 (2010) 587–591.
  19. A. Hernández, J.I. Calvo, P. Prádanos., F. Tejerina, Pore size distributions in micro-porous membranes: a critical analysis of the bubble point extended method, J. Membr. Sci., 112 (1996) 1–12.
  20. A. Mey-Marom, M.G. Katz, Measurement of active pore size distribution of microporous membranes-a new approach, J. Membr. Sci., 27 (1986) 119–130.
  21. B.D. Cho, A.G. Fane, Fouling transients in nominally subcritical flux operation of a membrane bioreactor, J. Membr. Sci., 209 (2002) 391–403.
  22. P.J. Smith, S. Vigneswaran, H.H. Ngo, R. Ben-Aim, H. Nguyen, A new approach to backwash initiation in membrane systems, J. Membr. Sci., 278 (2006) 381–389.
  23. D.J.D. Vanier, Why industry needs asset management tools, J. Comput. Civil Eng., 15 (2001) 35–43.
  24. J.C.M. Lucio, J.L.T. Nunes, R.C.G. Teive, Asset Management into Practice: A Case Study of a Brazilian Electrical Energy Utility, Intelligent System Applications to Power Systems, ISAP’09, 15th International Conference IEEE, 2009.
  25. S. Singh, K.C. Khulbe, T. Matsuura, P. Ramamurthy, Membrane characterization by solute transport and atomic force microscopy, J. Membr. Sci., 142 (1998) 111–127.
  26. S.I. Nakao, S. Kimura, Models of membrane transport phenomena and their applications for ultrafiltration data, J. Chem. Eng. Jpn., 15 (1982) 200–205.
  27. S. Chang, A.G. Fane, T.D. Waite, Analysis of constant permeate flow filtration using dead-end hollow fiber membranes, J. Membr. Sci., 268 (2006) 132–141.
  28. G. Belfort, R.H. Davis, A.L. Zydney, The behaviour of suspensions and macromolecular solutions in cross flow microfiltration, J. Membr. Sci., 96 (1994) 1–58.
  29. J.H. Tay, P. Yang, W.Q. Zhuang, S.T.L. Tay, Z.H. Pan, Reactor performance and membrane filtration in aerobic granular sludge membrane bioreactor, J. Membr. Sci., 304 (2007) 24–32.
  30. S. Khirani, P.J. Smith, M.H. Manéro, R.B. Aim, S. Vigneswaran, Effect of periodic backwash in the submerged membrane adsorption hybrid system (SMAHS) for wastewater treatment, Desalination, 191 (2006) 27–34.
  31. R.W. Field, D. Wu, J.A. Howell, B.B. Gupta, Critical flux concept for microfiltration fouling, J. Membr. Sci., 100 (1995) 259–272.
  32. R. Rosberg, Ultrafiltration (new technology), a viable costsaving pretreatment for reverse osmosis and nanofiltration: a new approach to reduce costs, Desalination, 110 (1997) 107–113.
  33. J. Radjenović, M. Matošić, I. Mijatović, M. Petrović, D. Barceló, Membrane Bioreactor (MBR) as an Advanced Wastewater Treatment Technology, Emerging Contaminants from Industrial and Municipal Waste, Springer, Berlin, Heidelberg, 2008, pp. 37–101.
  34. E. Arkhangelsky, D. Kuzmenko, V. Gitis, Impact of chemical cleaning on properties and functioning of polyethersulfone membranes, J. Membr. Sci., 305 (2007) 176–184.
  35. A. Simon, W.E. Price, L.D. Nghiem, Changes in surface properties and separation efficiency of a nanofiltration membrane after repeated fouling and chemical cleaning cycles, Sep. Purif. Technol., 113 (2013) 42–50.
  36. A. Al-Amoudi, P. Williams, A.S. Al-Hobaib, R.W. Lovitt, Cleaning results of new and fouled nanofiltration membrane characterized by contact angle, updated DSPM, flux and salts rejection, Appl. Surf. Sci., 254 (2008) 3983–3992.
  37. A. Al-Amoudi, P. Williams, S. Mandale, R.W. Lovitt, Cleaning results of new and fouled nanofiltration membrane characterized by zeta potential and permeability, Sep. Purif. Technol., 54 (2007) 234–240.
  38. A. Simon, W.E. Price, L.D. Nghiem, Effects of chemical cleaning on the nanofiltration of pharmaceutically active compounds (PhACs), Sep. Purif. Technol., 88 (2012) 208–215.
  39. R. Liikanen, J. Yli-Kuivila, R. Laukkanen, Efficiency of various chemical cleanings for nanofiltration membrane fouled by conventionally-treated surface water, J. Membr. Sci., 195 (2002) 265–276.
  40. K. Košutić, B. Kunst, RO and NF membrane fouling and cleaning and pore size distribution variations, Desalination, 150 (2002) 113–120.
  41. N. Ueda, Optimal linear combination of neural networks for improving classification performance, IEEE Trans. Pattern Anal. Mach. Intell., 22 (2000) 207–215.
  42. C. Regula, E. Carretier, Y. Wyart, G. Gésan-Guiziou, A. Vincent, D. Boudot, P. Moulin, Chemical cleaning/disinfection and ageing of organic UF membranes: a review, Water Res., 56 (2014) 325–365.
  43. R. Suthanthararajan, E. Ravindranath, K. Chits, B. Umamaheswari, T. Ramesh, S. Rajamam, Membrane application for recovery and reuse of water from treated tannery wastewater, Desalination, 164 (2004) 151–156.
  44. R.E. Brown, Failure Rate Modelling Using Equipment Inspection Data, Power Engineering Society General Meeting IEEE, 2004.
  45. A.F. Viero, G.L. Sant’Anna, R. Nobrega, The use of polyetherimide hollow fibres in a submerged membrane bioreactor operating with air backwashing, J. Membr. Sci., 302 (2007) 127–135.
  46. S. Robinson, S.Z. Abdullah, P. Bérubé, P. Bérubé, P. Le-Clech, Ageing of membranes for water treatment: linking changes to performance, J. Membr. Sci., 503 (2016) 177–187.
  47. R. Cutler, L. Davis, View-Based Detection and Analysis of Periodic Motion, Pattern Recognition, Proc. Fourteenth International Conference, Vol. 1, IEEE, 1998.
  48. R.G. White, J.G. Walker, Noise and Vibration, Ellis Horwood Ltd, Herts UK, 1982.
  49. M.L. Boas, Mathematical Methods in the Physical Sciences, DePaul University, Chicago, 2006, pp. 361–372.
  50. A.V. Oppenheim, Discrete-Time Signal Processing, Prentice- Hall, Upper Saddle River, NJ, 1999, pp. 98–130.
  51. S. Weinstein, P. Ebert, Data transmission by frequency-division multiplexing using the discrete Fourier transform, IEEE Trans. Commun. Technol., 19 (1971) 628–634.
  52. J. Drèze, N. Stern, The Theory of Cost-Benefit Analysis, Handbook of Public Economics, Vol. 2, 1987, pp. 909–989.
  53. H.N. Jo, J.K. Lim, Y.M. Choe, K.H. Paek, Life-Cycle Cost Analysis for Infrastructure Systems, Goomi Book, Seoul, 2009.
  54. P. Jorion, Risk 2: Measuring the risk in value at risk, Finance Anal. J., 52 (1996) 47–56.
  55. R.T. Rockafellar, S. Uryasev, Optimization of conditional valueat- risk, J. Risk, 2 (2000) 21–42.
  56. D.E. Nordgard, G. Solum, Experiences Using Quantitative Risk Assessment in Distribution System Asset Management, Electricity Distribution-Part 1 CIRED, 2009, p. 171.
  57. M.M. Hufschmidt, Benefit-cost analysis, J. Contemp. Water Res. Educ., 116 (2011) 11.
  58. S. Hajkowicz, R. Spencer, A. Higgins, O. Marinoni, Evaluating water quality investments using cost utility analysis, J. Environ. Manage., 88 (2008) 1601–1610.
  59. M.R. Haghifam, E. Akhavan-Rezai, A. Fereidunian, An Asset Management Approach to Momentary Failure Risk Analysis on MV Overhead Lines, Probabilistic Methods Applied to Power Systems (PMAPS), IEEE 11th International Conference, 2010.
  60. R. Robinson, Economic evaluation and health care, BMJ, 307 (1993) 726.
  61. A. Schneider, G. Hommel, M. Blettner, Linear regression analysis: part 14 of a series on evaluation of scientific publications, Dtsch Arztebl Int., 107 (2010) 776–822.
  62. K.J. Kim, H. Moskowitz, M. Koksalan, Fuzzy versus statistical linear regression, Eur. J. Oper. Res., 92 (1996) 417–434.
  63. S.R. Lipsitz, T. Leong, J. Ibrahim, S. Lipshultz, A partial correlation coefficient and coefficient of determination for multivariate normal repeated measures data, Statistician, (2001) 87–95.
  64. H. Holttinen, M. Milligan, B. Kirby, T. Acker, V. Neimane, T. Molinshi, Using standard deviation as a measure of increased operational reserve requirement for wind power, Wind Eng., 32 (2008) 355–377.
  65. L. Li, Use of Fourier series in the analysis of discontinuous periodic structures, J. Opt. Soc. Am. A, 13 (1996) 1870–1876.
  66. W.F. Schreiber, D.E. Troxel, Transformation between continuous and discrete representations of images: a perceptual approach, IEEE Trans. Pattern Anal. Mach. Intell., 2 (1985) 178–186.
  67. C.S. Lee, Y.W. Nam, D.I. Kim, Economical selection of optimum pressurized hollow fiber membrane modules in water purification system using RbLCC, J. Membr. Water Treat., 8 (2017) 137–147.
  68. W.H. Tang, A. Ang, Probability Concepts in Engineering: Emphasis on Applications to Civil & Environmental Engineering, Wiley, 2007, pp.145–146.
  69. F. Li, R.E. Brown, A cost-effective approach of prioritizing distribution maintenance based on system reliability, IEEE Trans. Power Delivery, 19 (2004) 439–441.