Hardware sensor fault diagnosis method can be used for detecting various faults in machines. Now we use one sensor to detect the possible faults in one machine. From the experimental test, we collected the sensor readings from the healthy state as shown below and wanted to do fault diagnosis. Table 2.1 Healthy state (time from 1 to 9 ) After time 100, it was observed that we had the following sensor readings. Table 2.2 Sensor readings (time from 100 to 108) We have learnt two methods: threshold decision and trend analysis. Please choose a suitable technique to check if the machine has a fault (if you select the threshold decision method, the tolerance number is 0.15 ) and explain why you select this method. You may use the graph to illustrate your conclusion. Also, please give the fault detection time if a fault is detected. Hardware sensor fault diagnosis method can be used for detecting various faults in machines. Now we use one sensor to detect the possible faults in one machine. From the experimental test, we collected the sensor readings from the healthy state as shown below and wanted to do fault diagnosis. Table 2.1 Healthy state (time from 1 to 9 ) After time 100, it was observed that we had the following sensor readings. Table 2.2 Sensor readings (time from 100 to 108) We have learnt two methods: threshold decision and trend analysis. Please choose a suitable technique to check if the machine has a fault (if you select the threshold decision method, the tolerance number is 0.15 ) and explain why you select this method. You may use the graph to illustrate your conclusion. Also, please give the fault detection time if a fault is detected