├── README.md ├── srspy └── srs.py └── srspy_demo_notebook.ipynb /README.md: -------------------------------------------------------------------------------- 1 | # Calculate Shock Response Spectrum (SRS) using Smallwood Ramp Invariant Recursive Method 2 | 3 | This python library can be used to calculate and plot Shock Response Spectrum (SRS) from accelerometer data (acceleration in g's vs time in seconds) 4 | 5 | Notes: 6 | - Still in alpha, expect bugs 7 | 8 | References: 9 | 10 | [1] Smallwood, [AN IMPROVED RECURSIVE FORMULA FOR CALCULATING SHOCK RESPONSE SPECTRA](http://www.vibrationdata.com/ramp_invariant/DS_SRS1.pdf) 11 | 12 | [2] Irvine, [AN INTRODUCTION TO THE SHOCK RESPONSE SPECTRUM](http://www.vibrationdata.com/tutorials2/srs_intr.pdf) 13 | 14 | [3] Kolaini et al, [PYROSHOCK SIMULATION SYSTEMS: ARE WE CORRECTLY QUALIFYING FLIGHT HARDWARE FOR PYROSHOCK ENVIRONMENTS?](https://trs.jpl.nasa.gov/bitstream/handle/2014/44680/09-3254_A1b.pdf?sequence=1&isAllowed=y) -------------------------------------------------------------------------------- /srspy/srs.py: -------------------------------------------------------------------------------- 1 | """ 2 | Calculate Shock Response Spectrum (SRS) from accelerometer data 3 | using Smallwood ramp invariant method (http://www.vibrationdata.com/ramp_invariant/DS_SRS1.pdf) 4 | 5 | Author: dsholes 6 | Date: November 8, 2018 7 | Version: 0.1 8 | 9 | Credits: 10 | - Tom Irvine wrote a similar python module, and I am borrowing the idea to use scipy.signal.lfilter 11 | - David Smallwood developed the algorithm 12 | 13 | """ 14 | 15 | from scipy.signal import lfilter 16 | from scipy import integrate 17 | import numpy as np 18 | import pandas as pd 19 | from matplotlib import pyplot as plt 20 | import matplotlib.gridspec as gridspec 21 | import seaborn as sns 22 | 23 | # Constants 24 | G_TO_MPS2 = 9.81 25 | 26 | # Plot formatting 27 | COLORS = sns.color_palette().as_hex() 28 | AX_LABEL_FONT_DICT = {'size':14} 29 | AX_TITLE_FONT_DICT = {'size':16} 30 | 31 | def read_tsv(path_to_tsv): 32 | """ 33 | 34 | NOTE ON DATA FORMAT: 35 | - TSV must be 2 columns 36 | - Time (in sec) is first column 37 | - Accel (in G's) is second column 38 | - No column headers (i.e. first row should be data) 39 | 40 | """ 41 | 42 | input_data = path_to_tsv 43 | cols = [0,1] 44 | col_names = ['time_s', 'accel_g'] 45 | input_df = pd.read_csv(input_data, 46 | sep = '\t', 47 | header = None, 48 | names = col_names, 49 | usecols = cols) 50 | return read_dataframe(input_df) 51 | 52 | 53 | def read_csv(path_to_csv): 54 | """ 55 | 56 | NOTE ON DATA FORMAT: 57 | - CSV must be 2 columns 58 | - Time (in sec) is first column 59 | - Accel (in G's) is second column 60 | - No column headers (i.e. first row should be data) 61 | 62 | """ 63 | 64 | input_data = path_to_csv 65 | cols = [0,1] 66 | col_names = ['time_s', 'accel_g'] 67 | input_df = pd.read_csv(input_data, 68 | header = None, 69 | names = col_names, 70 | usecols = cols) 71 | return read_dataframe(input_df) 72 | 73 | def read_dataframe(input_df): 74 | ''' 75 | Takes pandas DataFrame object 76 | - Time (in sec) is first column 77 | - Accel (in G's) is second column 78 | ''' 79 | try: 80 | input_df.apply(pd.to_numeric) 81 | except ValueError: 82 | raise Exception("Input data file should not have column headers") 83 | srs_object = ShockResponseSpectrum(input_df) 84 | 85 | return srs_object 86 | 87 | def build_nat_freq_array(fn_start = 10., fn_end = 1.0e4, oct_step_size = (1./12.)): 88 | fn_array = [fn_start] 89 | for i in range(int(fn_end-fn_start)): 90 | new_fn = (fn_start*2.**(oct_step_size)) 91 | fn_array.append(new_fn) 92 | fn_start = new_fn 93 | if fn_start > fn_end: 94 | break 95 | fn_array = np.array(fn_array) 96 | return fn_array 97 | 98 | def remove_sensor_bias(input_accel_g): 99 | input_accel_g = input_accel_g - input_accel_g.mean() 100 | return input_accel_g 101 | 102 | class ShockResponseSpectrum: 103 | def __init__(self,input_df): 104 | self.input_df = input_df 105 | 106 | self.input_time_s = self.input_df.time_s.values 107 | self.input_accel_g = self.input_df.accel_g.values 108 | 109 | self.input_accel_mps2 = self.input_accel_g * G_TO_MPS2 # convert accel to m/s^2 for integration to velocity (m/s) 110 | self.input_vel_mps = integrate.cumtrapz(self.input_accel_mps2, self.input_time_s,initial=0.) 111 | 112 | def run_srs_analysis(self, fn_array, Q = 10, remove_bias = False): 113 | """ 114 | Review Smallwood method in his paper: 115 | - 'AN IMPROVED RECURSIVE FORMULA FOR CALCULATING SHOCK RESPONSE SPECTRA' 116 | - http://www.vibrationdata.com/ramp_invariant/DS_SRS1.pdf 117 | """ 118 | self.Q = Q 119 | self.fn_array = fn_array 120 | self.remove_bias = remove_bias 121 | 122 | if self.remove_bias: 123 | self.input_accel_g = remove_sensor_bias(self.input_accel_g) # Remove bias, talk to Martin about this 124 | self.input_accel_mps2 = self.input_accel_g * G_TO_MPS2 # convert accel to m/s^2 for integration to velocity (m/s) 125 | self.input_vel_mps = integrate.cumtrapz(self.input_accel_mps2, self.input_time_s,initial=0.) 126 | print('Input data has been modified to remove sensor bias (offset)...') 127 | 128 | # Should I give user access to the following coefficients?? 129 | damp = 1./(2.*self.Q) 130 | T = np.diff(self.input_time_s).mean() # sample interval 131 | omega_n = 2. * np.pi * self.fn_array 132 | omega_d = omega_n * np.sqrt(1 - damp**2.) 133 | E = np.exp(-damp * omega_n * T) 134 | K = T*omega_d 135 | C = E*np.cos(K) 136 | S = E*np.sin(K) 137 | S_prime = S/K 138 | b0 = 1. - S_prime 139 | b1 = 2. * (S_prime - C) 140 | b2 = E**2. - S_prime 141 | a0 = np.ones_like(self.fn_array) # Necessary because of how scipy.signal.lfilter() is structured 142 | a1 = -2. * C 143 | a2 = E**2. 144 | b = np.array([b0,b1,b2]).T 145 | a = np.array([a0,a1,a2]).T 146 | 147 | # Calculate SRS using Smallwood ramp invariant method 148 | self.pos_accel = np.zeros_like(self.fn_array) 149 | self.neg_accel = np.zeros_like(self.fn_array) 150 | for i,f_n in enumerate(self.fn_array): 151 | output_accel_g = lfilter(b[i], a[i], self.input_accel_g) 152 | self.pos_accel[i] = output_accel_g.max() 153 | self.neg_accel[i] = np.abs(output_accel_g.min()) 154 | 155 | def export_srs_to_csv(self, filename): 156 | data_array = np.array([self.fn_array,self.pos_accel,self.neg_accel]).T 157 | cols = ['Natural Frequency (Hz)', 'Peak Positive Accel (G)', 'Peak Negative Accel (G)'] 158 | srs_output_df = pd.DataFrame(data = data_array, 159 | columns = cols) 160 | srs_output_df.to_csv(filename,index=False) 161 | 162 | def _make_accel_subplot(self,ax): 163 | ax.plot(self.input_time_s, self.input_accel_g, 164 | label = 'Accel', 165 | color = COLORS[0], 166 | linestyle = '-') 167 | # leg = ax.legend(fancybox=True,framealpha=1,frameon=True) 168 | # leg.get_frame().set_edgecolor('k') 169 | ax.grid(True, which = "both") 170 | ax.set_xlabel('Time (sec)', fontdict = AX_LABEL_FONT_DICT) 171 | ax.set_ylabel('Accel (G)', fontdict = AX_LABEL_FONT_DICT) 172 | ax.set_title('Base Input', 173 | fontdict = AX_TITLE_FONT_DICT) 174 | return ax 175 | 176 | def _make_vel_subplot(self,ax): 177 | ax.plot(self.input_time_s, self.input_vel_mps, 178 | label='Vel', 179 | color=COLORS[0], 180 | linestyle='-') 181 | # leg = ax.legend(fancybox=True,framealpha=1,frameon=True) 182 | # leg.get_frame().set_edgecolor('k') 183 | ax.grid(True, which="both") 184 | ax.set_xlabel('Time (sec)', fontdict = AX_LABEL_FONT_DICT) 185 | ax.set_ylabel('Velocity (m/s)', fontdict = AX_LABEL_FONT_DICT) 186 | ax.set_title('Base Input', 187 | fontdict=AX_TITLE_FONT_DICT) 188 | return ax 189 | 190 | def _make_srs_subplot(self,ax, requirement): 191 | 192 | ax.loglog(self.fn_array,self.pos_accel, 193 | label='Positive', 194 | color=COLORS[0], 195 | linestyle='-') 196 | ax.loglog(self.fn_array,self.neg_accel, 197 | label='Negative', 198 | color=COLORS[0], 199 | linestyle='--') 200 | if requirement is not None: 201 | self.protocol_fn, self.protocol_accel = requirement 202 | ax.loglog(self.protocol_fn, self.protocol_accel, 203 | color=COLORS[3], 204 | linewidth=2, 205 | label='Requirement') 206 | 207 | leg = ax.legend(fancybox=True, 208 | framealpha=1, 209 | frameon=True) 210 | leg.get_frame().set_edgecolor('k') 211 | ax.grid(True, which="both") 212 | ax.set_xlabel('Natural Frequency (Hz)', fontdict = AX_LABEL_FONT_DICT) 213 | ax.set_ylabel('Peak Accel (G)', fontdict = AX_LABEL_FONT_DICT) 214 | ax.set_title('Acceleration Shock Response Spectrum (Q={0:.1f})'.format(self.Q), 215 | fontdict=AX_TITLE_FONT_DICT) 216 | return ax 217 | 218 | def plot_results(self, requirement = None, filename = None): 219 | fig = plt.figure() 220 | 221 | gs = gridspec.GridSpec(3,4) 222 | gs.update(hspace=0.5,wspace=0.75) 223 | 224 | # Create Axes for Input Acceleration and Velocity 225 | ax0 = fig.add_subplot(gs[0, 0:2]) 226 | ax1 = fig.add_subplot(gs[0, 2:]) 227 | 228 | # Create Axis for SRS Output 229 | ax2 = fig.add_subplot(gs[1:,0:]) 230 | 231 | 232 | ax0 = self._make_accel_subplot(ax0) 233 | ax1 = self._make_vel_subplot(ax1) 234 | ax2 = self._make_srs_subplot(ax2, requirement) 235 | 236 | fig.set_size_inches(10,10) 237 | if filename is not None: 238 | fig.savefig(filename,dpi=200) 239 | 240 | def plot_input_accel(self, filename = None): 241 | fig, ax = plt.subplots() 242 | ax = self._make_accel_subplot(ax) 243 | fig.set_size_inches(10,7) 244 | if filename is not None: 245 | fig.savefig(filename,dpi=200) 246 | 247 | def plot_input_vel(self, filename = None): 248 | fig, ax = plt.subplots() 249 | ax = self._make_vel_subplot(ax) 250 | fig.set_size_inches(10,7) 251 | if filename is not None: 252 | fig.savefig(filename,dpi=200) 253 | 254 | def plot_srs(self, requirement = None, filename = None): 255 | fig, ax = plt.subplots() 256 | ax = self._make_srs_subplot(ax, requirement) 257 | fig.set_size_inches(10,7) 258 | if filename is not None: 259 | fig.savefig(filename,dpi=200) -------------------------------------------------------------------------------- /srspy_demo_notebook.ipynb: -------------------------------------------------------------------------------- 1 | { 2 | "cells": [ 3 | { 4 | "cell_type": "code", 5 | "execution_count": 1, 6 | "metadata": {}, 7 | "outputs": [], 8 | "source": [ 9 | "import pandas as pd\n", 10 | "import numpy as np\n", 11 | "from srspy import srs\n", 12 | "%matplotlib inline" 13 | ] 14 | }, 15 | { 16 | "cell_type": "code", 17 | "execution_count": 3, 18 | "metadata": {}, 19 | "outputs": [ 20 | { 21 | "data": { 22 | "image/png": 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4mY1PDyMiQsjMySMyQshXJVKEDqO/Ldxu0z+HcfazP3A0O4/+nRrx5eLtdGma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\n/wNyWxOenF8s6wAAAABJRU5ErkJggg==\n", 23 | "text/plain": [ 24 | "" 25 | ] 26 | }, 27 | "metadata": {}, 28 | "output_type": "display_data" 29 | } 30 | ], 31 | "source": [ 32 | "input_data = \"./data/1.txt\"\n", 33 | "\n", 34 | "# Read data file, time (s) first column, accel (G) second column\n", 35 | "# NO COLUMN HEADERS!!!\n", 36 | "# A ShockResponseSpectrum object is created\n", 37 | "\n", 38 | "srs_test_object = srs.read_tsv(input_data)\n", 39 | "\n", 40 | "# Build array of natural frequencies for SRS\n", 41 | "# similar to np.logspace, but using octaves as the step size\n", 42 | "\n", 43 | "fn_test_array = srs.build_nat_freq_array(fn_start = 100., fn_end = 10000., oct_step_size = (1./12.))\n", 44 | "\n", 45 | "srs_test_object.run_srs_analysis(fn_test_array)\n", 46 | "\n", 47 | "# Plot results. SRS Requirements from test protocol can be added to plot\n", 48 | "protocol_fn = np.array([100.,2000.,10e3])\n", 49 | "protocol_accel = np.array([20.,2000.,2000.])\n", 50 | "test_reqs = (protocol_fn, protocol_accel)\n", 51 | "\n", 52 | "srs_test_object.plot_results(requirement = test_reqs)" 53 | ] 54 | }, 55 | { 56 | "cell_type": "code", 57 | "execution_count": 4, 58 | "metadata": {}, 59 | "outputs": [ 60 | { 61 | "name": "stdout", 62 | "output_type": "stream", 63 | "text": [ 64 | "Input data has been modified to remove sensor bias (offset)...\n" 65 | ] 66 | }, 67 | { 68 | "data": { 69 | "image/png": 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oSD1SmsQCsGF/EY987/wcD25fT//Wzl9ARnYRj85z2uNinL+fl/47g2KF9g1j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\nQmCC\n", 70 | "text/plain": [ 71 | "" 72 | ] 73 | }, 74 | "metadata": {}, 75 | "output_type": "display_data" 76 | } 77 | ], 78 | "source": [ 79 | "# If sensor bias is detected, (see linearly increasing velocity plot above)\n", 80 | "# then remove_bias keyword attempts to center accelerometer data on zero G.\n", 81 | "# Be VERY careful, this adjustment may not be appropriate for your data\n", 82 | "srs_test_object.run_srs_analysis(fn_test_array, remove_bias= True)\n", 83 | "\n", 84 | "# After removing the bias, the velocity plot appears stable and the\n", 85 | "# Positive and Negative Peak Accel have better agreement at lower frequencies\n", 86 | "# Adding a filename allows you to save the figure\n", 87 | "srs_test_object.plot_results(requirement = test_reqs, filename = 'test_output.svg')" 88 | ] 89 | }, 90 | { 91 | "cell_type": "code", 92 | "execution_count": 5, 93 | "metadata": {}, 94 | "outputs": [ 95 | { 96 | "data": { 97 | "image/png": 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HPqkyzP2X95aopNRVuJvI85+v1KZqphoMuOtdXfh46C4lf3t/SYUw9K+pqzRz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\nenfBxpjOe/tnJyozgy4+AABA0PO9aCJ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98 | "text/plain": [ 99 | "" 100 | ] 101 | }, 102 | "metadata": {}, 103 | "output_type": "display_data" 104 | } 105 | ], 106 | "source": [ 107 | "srs_test_object.plot_input_accel()" 108 | ] 109 | }, 110 | { 111 | "cell_type": "code", 112 | "execution_count": 6, 113 | "metadata": {}, 114 | "outputs": [ 115 | { 116 | "data": { 117 | "image/png": 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v0v7rywaeSFosNny8pdR13n1MnHK6oc2K/247hlve2QSgc4icdmBxd5YY8Uaf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\nw6nBpP7cAq1Ronrdwsf+16VH61PnD95TNN9ii3Bv0CFTyv9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118 | "text/plain": [ 119 | "" 120 | ] 121 | }, 122 | "metadata": {}, 123 | "output_type": "display_data" 124 | } 125 | ], 126 | "source": [ 127 | "srs_test_object.plot_input_vel()" 128 | ] 129 | }, 130 | { 131 | "cell_type": "code", 132 | "execution_count": 7, 133 | "metadata": {}, 134 | "outputs": [], 135 | "source": [ 136 | "# Ability to output results to csv\n", 137 | "srs_test_object.export_srs_to_csv(filename = 'test_output.csv')" 138 | ] 139 | } 140 | ], 141 | "metadata": { 142 | "kernelspec": { 143 | "display_name": "Python 3", 144 | "language": "python", 145 | "name": "python3" 146 | }, 147 | "language_info": { 148 | "codemirror_mode": { 149 | "name": "ipython", 150 | "version": 3 151 | }, 152 | "file_extension": ".py", 153 | "mimetype": "text/x-python", 154 | "name": "python", 155 | "nbconvert_exporter": "python", 156 | "pygments_lexer": "ipython3", 157 | "version": "3.6.3" 158 | } 159 | }, 160 | "nbformat": 4, 161 | "nbformat_minor": 2 162 | } 163 | --------------------------------------------------------------------------------