This paper proposes an enhanced faulty node detection method using the interval weighting factor, which monitors node behavior using pseudo-random Bose-Chaudhuri-Hocquenghem (BCH) code for distributed networked control systems. The master node collects the replacement of the cyclic redundancy check (CRC) codes by a single-bit BCH code of each slave node. However, the BCH code can only obtain the error position of the suspected faulty node without consideration of the channel nodes. Hence, the suspected error nodes are saved within the detected error interval and normalized using the weighting factor, which is carried out during sequential check, for interpretation. The fault judgement is carried out to adequately interpret the data, to guarantee detection accuracy of the detected error. The data is represented by statistical characteristic of the raw data and filtered data. This scheme can be applied to detect and prevent the severe damage by node failure. The simulation results prove the effectiveness of the interval faulty weighting factor, in obtaining raw data from the monitoring of the BCH code and filtered data, which are more accurate representation than the raw data. Moreover, the characteristics of the observed data were verified as the evaluation result of the suspected faulty node.