CPK.cs 3.7 KB

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  1. using System;
  2. using System.Linq;
  3. namespace BaseLibDataProcess
  4. {
  5. public class CPK
  6. {
  7. /// <summary>
  8. /// 计算CPK
  9. /// </summary>
  10. /// <param name="UCL">上限</param>
  11. /// <param name="LCL">下限</param>
  12. /// <param name="data">数据</param>
  13. /// <returns></returns>
  14. public double CalcCPK(double UCL, double LCL, double[] data)
  15. {
  16. double cpk = 0;
  17. if (data.Length > 1)
  18. {
  19. cpk = (1 - CalcCa(UCL, LCL, data)) * CalcCp(UCL, LCL, data);
  20. //cpk = Math.Min((UCL - data.Average()) / (3 * CalcStdDev(data)), (data.Average() - LCL) / (3 * CalcStdDev(data)));
  21. }
  22. return cpk;
  23. }
  24. /// <summary>
  25. /// 计算CpU
  26. /// </summary>
  27. /// <param name="UCL">上限</param>
  28. /// <param name="data">数据</param>
  29. /// <returns></returns>
  30. public double CalcCpU(double UCL, double[] data)
  31. {
  32. double CpU = 0;
  33. if (data.Length > 1)
  34. {
  35. CpU = (UCL - data.Average()) / (3 * CalcStdDev(data));
  36. }
  37. return CpU;
  38. }
  39. /// <summary>
  40. /// 计算Ca
  41. /// </summary>
  42. /// <param name="UCL">上限</param>
  43. /// <param name="LCL">下限</param>
  44. /// <param name="data">数据</param>
  45. /// <returns></returns>
  46. public double CalcCa(double UCL, double LCL, double[] data)
  47. {
  48. double Ca = 0;
  49. if (data.Length > 1)
  50. {
  51. Ca = Math.Abs((data.Average() - (UCL + LCL) / 2) / ((UCL - LCL) / 2)); //准确度
  52. }
  53. return Ca;
  54. }
  55. /// <summary>
  56. /// 计算Cp
  57. /// </summary>
  58. /// <param name="UCL">上限</param>
  59. /// <param name="LCL">下限</param>
  60. /// <param name="data">数据</param>
  61. /// <returns></returns>
  62. public double CalcCp(double UCL, double LCL, double[] data)
  63. {
  64. double cp = 0;
  65. if (data.Length > 1)
  66. {
  67. cp = (UCL - LCL) / (6 * CalcStdDev(data)); //精确度
  68. }
  69. return cp;
  70. }
  71. /// <summary>
  72. /// 计算CpL
  73. /// </summary>
  74. /// <param name="LCL">下限</param>
  75. /// <param name="data">数据</param>
  76. /// <returns></returns>
  77. public double CalcCpL(double LCL, double[] data)
  78. {
  79. double cpl = 0;
  80. if (data.Length > 1)
  81. {
  82. cpl = (data.Average() - LCL) / (3 * CalcStdDev(data));
  83. }
  84. return cpl;
  85. }
  86. /// <summary>
  87. /// 计算标准偏差
  88. /// </summary>
  89. /// <param name="data">数据</param>
  90. /// <returns></returns>
  91. public double CalcStdDev(double[] data)
  92. {
  93. double dTemp = 0;
  94. for (int i = 0; i < data.Length; i++)
  95. {
  96. dTemp += Math.Pow(data[i] - data.Average(), 2);
  97. }
  98. double ret = Math.Sqrt(dTemp / (data.Length - 1));
  99. return ret;
  100. //double xSum = 0F;
  101. //double xAvg = 0F;
  102. //double sSum = 0F;
  103. //double tmpStDev = 0F;
  104. //int arrNum = data.Count;
  105. //for (int i = 0; i < arrNum; i++)
  106. //{
  107. // xSum += data[i];
  108. //}
  109. //xAvg = xSum / arrNum;
  110. //for (int j = 0; j < arrNum; j++)
  111. //{
  112. // sSum += ((data[j] - xAvg) * (data[j] - xAvg));
  113. //}
  114. //tmpStDev = Convert.ToSingle(Math.Sqrt((sSum / (arrNum - 1))).ToString());
  115. //return tmpStDev;
  116. }
  117. }
  118. }