Many process characteristics follow exponential distribution and control charts based on such a distribution have attracted a lot of attention. Traditional control limits may be not appropriate because of the lack of symmetry. In this paper, process monitoring through a normalizing power transformation is studied. The traditional individual measurements control charts can be used based on the transformed data. The properties of this control chart are investigated. Comparison with the chart using probability limits is also carried out for the cases of known and estimated parameter.Without losing much accuracy even compared with the exact probability limits, the power transformation approach can easily be used to produce charts that can be interpreted when the normality assumption is valid.