With recent development in wireless communication and Micro Electro Mechanical Systems (MEMS) technology, it becomes easier to monitor rotating machinery condition by mounting compact wireless MEMS sensor directly on the machine, which has the potential to provide accurate information about the rotating machine. MEMS sensors are optimal for wireless measurements and internet of things (IOT) applications, which makes them a good option for remote condition monitoring. A cost-effective CM system is necessary to ensure that machines can work properly over long time of efficient operation with the required accuracy. Therefore, systems that use advanced technologies and techniques for predictive maintenance, such as IoT sensor communication are essential. In this paper, the temperature of fan was measured and sent to cloud via NODEMCU esp 8266 E12 bored that contain microprocessor and Wi-Fi connection providing an easy way to control the sensor. To evaluate the performance of the method, data was collected under two different conditions which are healthy and faulty condition. Then, the stored data was analyzed using MATLAB and used for machine condition monitoring and fault detection. The experimental results show that the proposed method can clearly indicate the fault, thus providing a reliable and economical method for machine condition monitoring and fault detection