Esempio n. 1
0
        private static AnalyseResults analyse_123(MonFile.ProcessStep step)
        {
            AnalyseResults _result = new AnalyseResults();

            double[] time   = new double[step.MeasuringPoints.Count];
            double[] tUpper = new double[step.MeasuringPoints.Count];
            double[] tLower = new double[step.MeasuringPoints.Count];
            double[] press  = new double[step.MeasuringPoints.Count];
            double[] pos    = new double[step.MeasuringPoints.Count];

            for (int i = 0; i < step.MeasuringPoints.Count; i++)
            {
                time[i]   = step.MeasuringPoints[i].TimePass;
                tUpper[i] = step.MeasuringPoints[i].UTemp1;
                tLower[i] = step.MeasuringPoints[i].LTemp1;
                press[i]  = step.MeasuringPoints[i].PressZ;
                pos[i]    = step.MeasuringPoints[i].PosZ;
            }

            _result.TmaxUpper     = Enumerable.Range(0, tUpper.Length).Max(i => tUpper[i]);
            _result.TminUpper     = Enumerable.Range(0, tUpper.Length).Min(i => tUpper[i]);
            _result.TAverageUpper = tUpper.Average();

            _result.TmaxLower     = Enumerable.Range(0, tLower.Length).Max(i => tLower[i]);
            _result.TminLower     = Enumerable.Range(0, tLower.Length).Min(i => tLower[i]);
            _result.TAverageLower = tLower.Average();

            _result.Pmin = Enumerable.Range(0, press.Length).Min(i => press[i]);
            _result.Pmax = Enumerable.Range(0, press.Length).Max(i => press[i]);

            _result.Posmin = Enumerable.Range(0, pos.Length).Min(i => pos[i]);
            _result.Posmax = Enumerable.Range(0, pos.Length).Max(i => pos[i]);

            double a1, a2, a3;
            double b1, b2, b3;
            double c1, c2, c3;

            LinearRegression(time, tUpper, 0, time.Length, out c1, out b1, out a1);
            _result.TRateUpper = Math.Round(a1, 4); _result.TRateUpperQuality = Math.Round(c1, 4);

            LinearRegression(time, tLower, 0, time.Length, out c2, out b2, out a2);
            _result.TRateLower = Math.Round(a2, 4); _result.TRateLowerQuality = Math.Round(c2, 4);

            LinearRegression(time, pos, 0, time.Length, out c3, out b3, out a3);
            _result.PosRate = Math.Round(a3, 4);

            _result.Duration = Convert.ToInt32(time[time.Length - 1] - time[0]);


            _result.TUpper_First = tUpper[0]; _result.TUpper_Last = tUpper[tUpper.Length - 1];
            _result.TLower_First = tLower[0]; _result.TLower_Last = tLower[tLower.Length - 1];

            return(_result);
        }
Esempio n. 2
0
        private static AnalyseResults analyse_7(MonFile.ProcessStep step)
        {
            AnalyseResults _result = new AnalyseResults();

            double[] time   = new double[step.MeasuringPoints.Count];
            double[] tUpper = new double[step.MeasuringPoints.Count];
            double[] tLower = new double[step.MeasuringPoints.Count];
            double[] press  = new double[step.MeasuringPoints.Count];
            double[] pos    = new double[step.MeasuringPoints.Count];

            for (int i = 0; i < step.MeasuringPoints.Count; i++)
            {
                time[i]   = step.MeasuringPoints[i].TimePass;
                tUpper[i] = step.MeasuringPoints[i].UTemp1;
                tLower[i] = step.MeasuringPoints[i].LTemp1;
                press[i]  = step.MeasuringPoints[i].PressZ;
                pos[i]    = step.MeasuringPoints[i].PosZ;
            }

            _result.TmaxUpper     = Enumerable.Range(0, tUpper.Length).Max(i => tUpper[i]);
            _result.TminUpper     = Enumerable.Range(0, tUpper.Length).Min(i => tUpper[i]);
            _result.TAverageUpper = tUpper.Average();

            _result.TmaxLower     = Enumerable.Range(0, tLower.Length).Max(i => tLower[i]);
            _result.TminLower     = Enumerable.Range(0, tLower.Length).Min(i => tLower[i]);
            _result.TAverageLower = tLower.Average();

            _result.Pmin = Enumerable.Range(0, press.Length).Min(i => press[i]);
            _result.Pmax = Enumerable.Range(0, press.Length).Max(i => press[i]);

            _result.Posmin = Enumerable.Range(0, pos.Length).Min(i => pos[i]);
            _result.Posmax = Enumerable.Range(0, pos.Length).Max(i => pos[i]);

            double a1, a2, a3;
            double b1, b2, b3;
            double c1, c2, c3;

            LinearRegression(time, tUpper, 0, time.Length, out c1, out b1, out a1);
            _result.TRateUpper = Math.Round(a1, 4); _result.TRateUpperQuality = Math.Round(c1, 4);

            LinearRegression(time, tLower, 0, time.Length, out c2, out b2, out a2);
            _result.TRateLower = Math.Round(a2, 4); _result.TRateLowerQuality = Math.Round(c2, 4);

            LinearRegression(time, pos, 0, time.Length, out c3, out b3, out a3);
            _result.PosRate = Math.Round(a3, 4);

            _result.TUpper_First = tUpper[0]; _result.TUpper_Last = tUpper[tUpper.Length - 1];
            _result.TLower_First = tLower[0]; _result.TLower_Last = tLower[tLower.Length - 1];

            _result.Duration = Convert.ToInt32(time[time.Length - 1] - time[0]);

            //int cutCount = Convert.ToInt32(step.MeasuringPoints.Count * pAverageEdgeCutFactor);
            //_result.PAverage = Enumerable.Range(cutCount, press.Length - 2 * cutCount).Select(i => press[i]).Average();

            _result.PAverage = press.GroupBy(item => item).OrderByDescending(g => g.Count()).Select(g => g.Key).First();

            _result.PressTime = press.Where(item => Math.Abs(item) > (_result.PAverage - (_result.PAverage * 0.05))).Count();

            int abovePAverageCount = press.Where(item => item > _result.PAverage).Count();


            try
            {
                int changetime = _result.Duration - (_result.Duration - _result.PressTime);
                _result.TChangeUpper = tUpper[changetime];
                _result.TChangeLower = tLower[changetime];
            }
            catch
            {
                _result.TChangeUpper = _result.TUpper_First;
                _result.TChangeLower = _result.TLower_First;
            }

            if (abovePAverageCount <= 5)
            {
                _result.TChangeUpper = _result.TUpper_First;
                _result.TChangeLower = _result.TLower_First;
                _result.PressTime    = 0;
                _result.PAverage     = 0;
            }


            return(_result);
        }